At a Glance
- Tasks: Lead innovative AI projects and architect cutting-edge solutions for enterprise systems.
- Company: Join a forward-thinking tech company committed to diversity and inclusion.
- Benefits: Competitive salary, bonuses, and opportunities for professional growth.
- Other info: Dynamic work environment with a strong emphasis on continuous learning.
- Why this job: Make a real impact in the AI field while mentoring high-performing teams.
- Qualifications: 15+ years in software engineering with a focus on AI solutions.
The predicted salary is between 80000 - 100000 £ per year.
Role: Senior Forward Deployed Engineer (AI‑Native) – Principal Technology Architect
Location: London
Compensation: Competitive (including bonus)
Responsibilities:
- Serve as principal engineering lead for complex, multi‑region AI programs; define solution strategy, roadmap, and measurable outcomes.
- Lead workshops and 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 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 secure API design (REST/GraphQL).
- MLOps containerization (Docker/K8s).
Leadership:
- 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:
- High analytical skills
- A high degree of initiative and flexibility
- High customer orientation
- High quality awareness
- Excellent verbal and written communication skills
Equal Opportunity Employment:
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.
Principal Technology Architect - LLMs, agentic coding systems, intelligent IDEs, AI employer: Infosys Limited
At Infosys, we pride ourselves on being an exceptional employer, particularly for the role of Principal Technology Architect in London. Our vibrant work culture fosters innovation and collaboration, providing employees with ample opportunities for professional growth and development in cutting-edge AI technologies. With competitive compensation, a commitment to diversity, and a focus on continuous learning, we empower our teams to lead transformative projects that make a meaningful impact in the tech industry.
