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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Technology Architect - **Company:** Infosys Limited - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Microsoft Azure, Cloud Engineering, Continuous Integration, Cursor (Graphical User Interface Elements), Distributed Systems, Python (Programming Language), Systems Development Life Cycle, Cloud Services, Software Safety, Software Engineering, TypeScript, Management of Software Versions, GitHub Copilot, Large Language Models, Multi-Agent Systems, Model Validation, Containerization, Kubernetes, Graphql, Machine Learning Operations, GPT, Docker, Microservices - **Published:** August 13, 2026 - **Apply:** https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25633&siteid=5439&PageType=JobDetails&jobid=2250006 ## About the Role * 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), 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 ## Description 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., * 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. ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [User 1st! Technology 2nd! Stop building AI nobody uses - start delivering real business outcomes](https://www.wearedevelopers.com/videos/100337-user-1st-technology-2nd-stop-building-ai-nobody-uses-start-delivering-real-business-outcomes) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)