Company Description

Tech native for over 30 years, Devoteam guides businesses through sustainable digital transformation to deliver value.

With over 11,000 tech architects in more than 25 countries across Europe, the Middle East, and Africa, Devoteam is committed to using technology to serve people.

Devoteam has been a ServiceNow Elite Partner since 2019. In 2026, it was recognised as ServiceNow Partner of the Year for the fourth consecutive year.

Job Description

About the Role

As an AI / ML Lead Consultant, you will lead customer engagements around modern data platforms, machine learning and Generative AI on Google Cloud. You will combine technical leadership, architectural ownership and delivery responsibility to help customers move from strategy and ideation to scalable, production-ready solutions..

What You’ll Do

• Lead customer engagements in the areas of Google Cloud Data, AI, Machine Learning and Generative AI
• Conduct Data Architecture, AI/ML and GenAI workshops with customers
• Design and deliver fit-for-purpose solution architectures based on customer requirements, business goals and technical constraints
• Take responsibility for delivery teams and ensure successful implementation of customer projects
• Create solution architecture documents, technical designs and implementation roadmaps
• Support the development of end-to-end data and AI pipelines on Google Cloud
• Help customers industrialise AI use cases and move from prototype to production-ready solutions
• Design and support MLOps / LLMOps practices, including CI/CD, deployment, monitoring and lifecycle management
• Advise customers on modern AI patterns such as LLM integration, RAG architectures, prompt engineering and foundation model adoption
• Collaborate with data engineers and developers to build scalable cloud-native solutions
• Contribute to the development of internal frameworks, offerings, service domains and reusable assets
• Support pre-sales, business development and proposal activities
• Coach and mentor junior consultants and engineers
• Actively contribute to knowledge sharing and continuous learning within the team

Qualifications

What You Bring

• A degree in Computer Science, Engineering, Mathematics or a related field
• 5+ years of experience in data science, machine learning, AI engineering or a related consulting role
• Proven hands-on experience delivering solutions on Google Cloud Platform, or equivalent cloud technologies
• Strong experience in designing and delivering complex technical architectures
• Hands-on experience with Vertex AI, Gemini models and related cloud AI services
• Strong programming skills in Python or R
• Solid foundation in machine learning and AI frameworks such as TensorFlow, PyTorch, LangChain or LangGraph
• Experience setting up CI/CD pipelines for data and ML projects
• Experience with DBT and/or Dataform
• Fluent German and English, both written and spoken

Nice to Have

• Good understanding of MLOps tools and best practices
• Experience with Generative AI use cases in enterprise environments
• Familiarity with RAG architectures, vector databases and AI application monitoring
• Experience with Docker, APIs and modern software engineering practices
• Experience with big data technologies such as Spark, Hadoop or Hive
• Experience with NLP, computer vision or advanced analytics
• Contributions to open-source projects or publications in relevant conferences or journals
• Two or more certifications in GCP, AWS or Azure Architecture and/or Machine Learning

Additional Information

Why to join us:

• Work on innovative and impactful Cloud, Data & AI projects for leading clients across industries
• Join a fast-growing, entrepreneurial environment with strong Google Cloud expertise
• Be part of a collaborative and international team of cloud, data and AI specialists
• Take ownership and play a key role in shaping customer engagements and growing our Data & AI capabilities
• Benefit from continuous learning, certification support and professional development opportunities
• Enjoy a culture built on respect, ambition, entrepreneurship, collaboration and frankness
• Receive a competitive compensation package and grow in a supportive environment that empowers you to succeed

Benefits and perks:

• 5 weeks of vacation per year (= 1 week extra)
• 4 “My Days” per year
• Hybrid office
• Flexible working hours
• Udemy for business account
• Meal allowance up to 32.000 CZK/year (129,50 CZK/day)
• Cafeteria 1200 CZK/month (MultiSport Card available)
• Phone tariff (unlimited calls, texts messages within the EU, 20GB of Internet)
• Employee Referral Program
• Sabbatical leave
• Repurchase of hardware

Moreover, we offer:

• Above standard working equipment
• Company mobile phone (selection from Android/iPhone)
• Company laptop (Windows/macOS)
• Coffee, tea, snacks and breakfasts in the office
• Company events and teambuildings
• Gifts for work anniversaries, promotion or childbirth
• Friendly and open culture

And last but not least, you can rely on:

• Transparent framework for career growth, reinforced by annual performance evaluations
• Trust and autonomy, with no micro-management
• Learning from senior colleagues and opportunities to collaborate with professionals from various industries
• Usage of AI tools and access to elaborate, tailored AI training

About the Director, AI Architect at Headspace:

At Headspace, our mission is to transform mental healthcare from an episodic need to an everyday care practice by offering an AI-powered, clinically safe, and personalized Mental Health Companion. AI is central to how we fulfill that mission at scale. As our  Director, AI Architect, you will own the technical vision and execution of Headspace’s AI-first service transformation, designing the systems, patterns, and practices that embed intelligence across every layer of our product and platform.

Reporting directly to the Chief Product & Engineering Officer, you will operate at the intersection of applied research, ML science, and platform engineering. This is a rare opportunity to shape how a category-defining mental health company thinks about, builds with, and deploys AI, responsibly, scalably, and in ways that genuinely improve member outcomes.

What you will do:

• Define and lead Headspace’s overarching AI architecture strategy, establishing the foundational patterns, platforms, and principles for an AI-first service transformation across our portfolio of streaming content, conversational AI, coaching, therapy and psychiatry services.
• Architect end-to-end AI systems: including LLM-powered features, agentic workflows, retrieval-augmented generation (RAG), and real-time personalization, with a relentless focus on reliability, safety, and member impact.
• Partner directly with the executive team, product leadership, and senior engineering stakeholders to align AI strategy with company goals, translating business opportunities into concrete technical roadmaps.
• Author company-wide technical specs that establish AI design principles, evaluation frameworks, guardrails, and reusable platform components.
• Drive responsible AI practices across the organization, including model evaluation, bias mitigation, explainability, data governance, and compliance with evolving regulatory standards relevant to health tech.
• Lead the selection, evaluation, and integration of AI/ML infrastructure, including model providers, vector databases, orchestration frameworks, and MLOps tooling, balancing build vs. buy decisions with long-term strategic implications.
• Collaborate with Data Science, ML Engineering, and Product teams to ensure AI systems are grounded in high-quality, privacy-preserving data pipelines and continuously improve through rigorous feedback loops.
• Establish AI engineering standards and best practices across squads, from prompt engineering and context management to model versioning, observability, and production monitoring.
• Mentor and elevate engineers, ML practitioners, and technical leads across the organization, helping teams build confidence and competency in applied AI development.
• Serve as Headspace’s internal and external thought leader on AI, representing the company’s technical vision in recruiting, partnerships, and the broader industry.
• Identify and evaluate emerging AI capabilities (reasoning models, multimodal systems, fine-tuning approaches) for near-term applicability to Headspace’s roadmap.

What you will bring:

Required Skills:

• 10+ years of software engineering experience, with at least 4 years focused on the design and delivery of production AI/ML systems at scale.
• Deep expertise in modern AI architectures, including LLMs, RAG systems, embedding pipelines, agentic frameworks, and real-time inference, with hands-on experience moving these from prototype to production.
• Proven ability to define AI strategy at an organizational level: translating ambiguous business challenges into technical roadmaps, influencing executive stakeholders, and driving alignment across cross-functional teams.
• Strong command of responsible AI principles: safety, fairness, explainability, data privacy, and the unique ethical considerations of AI in health and wellness contexts.
• Extensive experience with cloud-native AI infrastructure (AWS, GCP, or Azure), containerized deployment (Kubernetes), and MLOps practices including model serving, monitoring, and evaluation pipelines.
• Demonstrated ability to evaluate and integrate third-party AI providers, orchestration frameworks (e.g., LangChain, LlamaIndex, or similar), and vector/embedding database systems.
• Exceptional communication skills: you can articulate complex AI trade-offs clearly to both technical engineers and non-technical executives, and write specs that bring entire organizations along with you.
• Ownership mindset: you are comfortable navigating ambiguity, making consequential architectural decisions with incomplete information, and taking accountability for outcomes across teams.

Preferred Skills:

• BS/MS/PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
• Experience in digital health, wellness, or a similarly regulated consumer domain, with familiarity with HIPAA, data minimization practices, and the heightened standard of care for AI in sensitive user contexts.
• Background in fine-tuning, RLHF, or domain-adapted model training for specialized consumer applications.
• Experience with conversational AI, dialogue systems, or AI-powered coaching/companionship products.
• Familiarity with Server-Driven UI (SDUI) and how AI-driven personalization integrates with dynamic, schema-based rendering across web and mobile clients.
• Track record of building AI evaluation frameworks — including automated evals, red-teaming, and human-in-the-loop review pipelines — to maintain quality at scale.
• Experience driving AI governance initiatives, including model cards, audit trails, and cross-functional risk review processes.

Location:

This is a hybrid role located in our San Francisco office, working 3 days per week from the office.

Pay & Benefits:

The anticipated new hire base salary range for this full-time position is $230,000-$287,500 + equity + benefits.

Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training.

Your recruiter will provide more details on the specific salary range during the hiring process.

At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process.

About Headspace

Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and truly accessible whenever and wherever they need it.

At Headspace, our values aren’t just what we believe, they’re how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They’re our shared commitment to building a more connected, human-centered team—one that’s redefining how mental health care supports people today and for generations to come.

Why You’ll Love Working Here:

• A mission that matters—with impact you can see and feel
• A culture that’s collaborative, inclusive, and grounded in our values
• The chance to shape what mental health care looks like next
• Competitive pay and benefits that support your whole self

How we feel about Diversity, Equity, Inclusion and Belonging:

Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.

As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.

*Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process.

Headspace participates in the E-Verify Program .

Privacy Statement

All member records are protected according to ourPrivacy Policy. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company’s benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship.

As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment.

Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.

For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice

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About Remote Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage...

Location: London

Office requirement: 2 days in the office - Significant travel required

Employment type: Permanent

Seniority level: Principal

At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for an Forward Deployed Engineer to play a key role in our Solutions Consultants Team in London. If that’s you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary.

Sounds great, what will I be doing? 🤔

As our Lead / Principal Forward Deployed Engineer you’ll be embedded directly with our most strategic accounts, owning the end-to-end technical deployment of our agentic AI platform. This isn’t a support role, and it isn’t a solutions consultant with a fancy title — you’ll write production code, own technical outcomes, and be the reason our biggest customers succeed and expand. You’ll operate with the autonomy of a founding engineer and the commercial instinct of a GTM leader.

A few things you’ll be responsible for:

👉 Embed with our Tier 1 enterprise accounts and own end-to-end deployments of our agentic AI platform — from discovery through to production, including bespoke integrations, data pipelines, and workflow automations.

👉 Lead AI agents into production in complex environments (legacy systems, security, compliance), turning cutting-edge capability into measurable business outcomes.

👉 Partner with Enterprise AEs in late-stage sales cycles — leading proof-of-concept builds and assessing technical readiness to de-risk and accelerate the close.

👉 Surface patterns from the field and feed them back to product and engineering, acting as the bridge between customer reality and roadmap.

👉 Build out the FDE practice as it scales: repeatable deployment playbooks, success metrics, and mentoring mid-level FDEs.

It’s also fun; shaking things up is what working for GWI is all about. You’ll need to be flexible, comfortable with continuous change, and working in a high-tempo environment.

What do I need to bring with me? 🧳

You’ll need to be able to demonstrate the core skills this role requires. You don’t have to tick all the boxes right away; the important thing is that you’re willing to learn.

Here’s what the team will be looking for in you:

👉 Significant experience in software engineering, solutions engineering, or a customer-facing technical role — with meaningful time spent shipping production code in complex enterprise environments.

👉 Demonstrable experience deploying AI or data-heavy products into large organisations — real production deployments, not just POCs.

👉 Strong full-stack or backend engineering fundamentals: Python essential, plus comfort across APIs, SQL, cloud infrastructure (AWS/GCP/Azure), and data pipelines.

👉 The ability to work through ambiguity and turn it into a concrete technical plan.

👉 Clear communication across technical and business audiences — you can tailor the same idea for an engineering lead and a commercial stakeholder.

👉 Willingness to travel to client sites across the UK and Europe (approximately 30–50% of the time).

Nice to have:

👉 Hands-on experience with LLM deployment, AI agents, or agentic workflow automation.

👉 A background in a high-growth B2B SaaS or AI-native company.

👉 Experience in one or more of GWI’s core verticals: financial services, media & agencies, consumer goods, or technology.

👉 Prior experience in an FDE, solutions architect, or technical account management function at a company with a named-account enterprise motion.

Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, and they’re a big part of what we’re looking for in you.

What’s in it for me? 🎁

At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:

🌴 Time to recharge – 25 days’ annual leave, plus office closures over the holidays.

🧘 Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support.

💸 Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success.

🏡 Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget.

💪 Career growth – Accredited learning, leadership development, and global career mobility.

🌎 Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving.

Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked.

Diversity, Equity & Inclusion

Diversity is fundamental to who we are—both as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to ensure our workforce is as diverse and inclusive as the insights we provide to our clients.

As a Disability Confident employer, we welcome applications from disabled candidates and are committed to providing all necessary adjustments during the hiring process. We also actively encourage applications from underrepresented and marginalized communities.

At GWI, you will find a place where you can contribute meaningfully, grow professionally, and belong fully.

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