Principal Technology Architect - LLMs, agentic coding systems, intelligent IDEs, AI

Job description

Role

• Senior Forward Deployed Engineer (AI ‑ Native)
• Principal Technology Architect Technology - LLMs, agentic coding systems, intelligent IDEs, AI development platforms Location
• London Compensation
• Competitive (including bonus)

Job Description

Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.

At Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people. Your role 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. 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.

Required Technology

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).

Tooling & Platforms (practitioner proficiency)

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 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. Personal Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile.

These include: High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills About Infosys Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through the many next of their digital journey.

We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise and ideas from our innovation ecosystem. Visit www.infosys.com to see how Infosys can help your enterprise navigate your next.

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