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Infosys
Principal Technology Architect- LLMs, agentic coding systems, intelligInfosys • London, England, UK
Principal Technology Architect- LLMs, agentic coding systems, intellig

Principal Technology Architect- LLMs, agentic coding systems, intellig

Infosys • London, England, UK
30+ days ago
Job type
  • Full-time
Job description
Role - Senior Forward Deployed Engineer (AINative) 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 whats 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 endtoend delivery accountability.
  • Serve as principal engineering lead for complex multiregion AI programs; define solution strategy roadmap and measurable outcomes.
  • Lead workshops/discoveries focused on AIenabled 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 highperforming teams; cultivate experimentation reusable assets/accelerators and continuous learning.
  • Govern delivery (scope risk quality) communicate crisply with executives and technical stakeholders and coursecorrect proactively.




Technology:
  • 15 years of progressive software engineering; 5 years leading AInative solutions at enterprise scale.
  • Handson 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 contextrich code assistance; use with projects tooluse code planning.
  • Google Gemini (Nano/Pro/1.5) for multimodal reasoning; integrate via Vertex AI; grounding structured output functioncalling.
  • Azure OpenAI / GPT4.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 IDEnative 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 cloudnative (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: Privacybydesign PII handling secrets management policy enforcement humanintheloop approvals auditability.
  • Languages: Advanced Python plus one of Java/TypeScript/Go; containerization (Docker/K8s).

Leadership & Communication:
  • Executive presence: influence Csuite decisions with crisp databacked narratives.
  • Lead distributed teams across geographies/time zones; resolve conflicts and drive outcomes.
  • Presales/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 bakeoffs/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 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



Required Experience:

Staff IC


Employment Type : Full Time
Experience: years
Vacancy: 1
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Principal Technology Architect- LLMs, agentic coding systems, intellig • London, England, UK

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