Principal technology architect llms, agentic coding systems, intelligent ides, ai Work, Jobs (with Salaries)

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

Infosys -
London

Apply Now

Job details

7 hours ago

Qualifications

Azure
Go
Law
Google Cloud Platform
Java
Master's degree
AWS
Analysis skills
Docker
Continuous improvement
Distributed systems
REST
APIs
GraphQL
AI
TypeScript
Communication skills
Python

Full 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.
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

Apply Now

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