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- Tasks: Lead AI-driven engineering projects and mentor high-performing teams.
- Company: Join a forward-thinking tech company committed to innovation and diversity.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI in engineering and make a real impact.
- Qualifications: Extensive experience in software engineering and AI solutions leadership.
- Other info: Dynamic role with global collaboration and exciting challenges.
The predicted salary is between 90000 - 120000 ÂŁ per year.
In the role of Senior Forward Deployed Engineer (FDE), you will anchor pods, set technical vision, and operationalize modern AI (LLMs, agentic systems, intelligent IDEs) to transform engineering workflows and outcomes. The role blends deep technical leadership with executive engagement and end‑to‑end delivery accountability.
Responsibilities:
- Serve as principal engineering lead for complex, multi‑region AI programs; define solution strategy, roadmap, and measurable outcomes.
- Lead workshops/discoveries focused on AI‑enabled engineering (LLMs, agents, RAG, prompt ops, model ops).
- Architect AI integrations across APIs, pipelines, cloud services, and enterprise toolchains; enforce reliability, safety, and cost discipline.
- Operationalize agentic engineering (task decomposition, tools, memory, planning) for accelerated delivery.
- Build and mentor high‑performing teams; cultivate experimentation, reusable assets/accelerators, and continuous learning.
- Govern delivery (scope, risk, quality), communicate crisply with executives and technical stakeholders, and course‑correct proactively.
Technologies:
- Claude Code (Anthropic) for secure, context‑rich code assistance; use with projects, tool‑use, code planning.
- Google Gemini (Nano/Pro/1.5) for multimodal reasoning; integrate via Vertex AI; grounding, structured output, function‑calling.
- Azure OpenAI / GPT‑4.x for enterprise LLM services; model selection, limits, rate management, content filters/AI safety.
- Amazon Q for developer and ops assistance across AWS stacks.
- Cursor, GitHub Copilot, Devin for IDE‑native agentic coding; policies for context windows, secrets hygiene, and traceability.
- NotebookLM/Gemini for research workflows where permitted; govern enterprise knowledge ingestion.
Architecture & Integration:
- Distributed systems, microservices, cloud‑native (Azure/AWS/GCP); secure API design (REST/GraphQL).
MLOps & AIOps:
- CI/CD for AI, model lifecycle (eval, versioning, rollout/rollback), guardrails, telemetry, drift monitoring, prompt safety.
DevSec & Responsible AI:
- Privacy‑by‑design, PII handling, secrets management, policy enforcement, human‑in‑the‑loop approvals, auditability.
Languages:
- Advanced Python plus one of Java/TypeScript/Go; containerization (Docker/K8s).
Leadership & Communication:
- Executive presence: influence C‑suite decisions with crisp, data‑backed narratives.
- Lead distributed teams across geographies/time zones; resolve conflicts and drive outcomes.
- Pre‑sales/solutioning for AI transformation; quantify value (cycle time, defect rate, throughput, cost‑to‑serve).
Preferred Qualifications:
- Delivery leadership for Fortune 500 AI programs; published thought leadership or patents.
- Proven track in building accelerators (prompt libraries, agent frameworks, governance kits), and running bake‑offs/benchmarks across LLMs.
- Experience establishing enterprise AI enablement: policy, templates, blueprints, playbooks, COPs.
- 15+ years of progressive software engineering; 5+ years leading AI‑native solutions at enterprise scale.
- Hands‑on with LLMs and agentic frameworks; design and deploy AI systems that augment SDLC (requirements coding testing ops).
All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.
Forward Deployed Engineer (AI-Native) - Industry Principal in City of Westminster employer: Infosys Limited
Contact Detail:
Infosys Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer (AI-Native) - Industry Principal in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those who work at companies you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills in real-time! Consider setting up a portfolio or a GitHub repo showcasing your projects, especially those involving AI and engineering workflows. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and engineering. Think about how you’d tackle challenges in the role and be ready to share your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Forward Deployed Engineer (AI-Native) - Industry Principal in City of Westminster
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI technologies and engineering leadership. We want to see how your skills align with the role of a Forward Deployed Engineer, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills: Since this role involves deep technical expertise, be sure to include specific examples of your work with LLMs, microservices, and cloud-native architectures. We love seeing hands-on experience, so share any relevant projects or achievements that demonstrate your capabilities.
Communicate Clearly: Your written application should reflect your ability to communicate crisply and effectively. Use clear language and structure your thoughts logically, as this will give us a taste of how you might engage with executives and stakeholders in the role.
Apply Through Our Website: We encourage you to submit your application through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!
How to prepare for a job interview at Infosys Limited
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around LLMs and agentic systems. Be ready to discuss how you've applied these technologies in past projects and how they can transform engineering workflows.
✨Showcase Your Leadership Skills
This role requires a blend of technical expertise and leadership. Prepare examples of how you've led teams or projects, particularly in complex, multi-region AI programmes. Highlight your ability to influence decisions at the executive level with data-driven narratives.
✨Be Ready for Technical Challenges
Expect some technical questions or case studies during the interview. Brush up on your knowledge of distributed systems, microservices, and secure API design. Practise explaining your thought process clearly and concisely.
✨Communicate Clearly and Confidently
Strong communication skills are key for this position. Practise articulating your ideas and solutions crisply, especially when discussing complex topics. Remember, you’ll need to engage with both technical stakeholders and executives, so adapt your language accordingly.