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Lead AI Consultant

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Softwire

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Location:
United Kingdom , London ▼

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

Softwire is looking for a Lead AI Consultant to help our clients turn the current wave of AI capability (especially LLMs) into real, valuable, maintainable software. This role is for a strong senior engineer / tech lead type who can bring AI into delivery teams in two ways: using AI tooling to improve engineering productivity across whole teams (e.g. coding assistants, test generation, code review support, documentation acceleration, internal dev workflows) and building products and platforms that incorporate AI/LLM features, safely and pragmatically.

Job Responsibility:

  • Work hands-on within multidisciplinary teams to design and deliver AI-enabled software
  • Help clients make the right calls on where AI adds value (and where it doesn't)
  • Use, advise on, and develop AI-related features such as: intelligent search/retrieval experiences and RAG, summarisation and document comprehension at scale, context management, AI agents, MCP servers, best-practice configuration of AGENTS.md, advanced use of tools such as Claude Code and Codex, assistants and copilots embedded into workflows, classification, extraction, and decision support tooling, retraining and fine-tuning models, trade-offs between different models (including open models), calculation/forecasting of token usage, vector databases, well-formed opinions on and experience of AI-enhanced SDLCs
  • Set teams up for sustainable success through strong engineering practices (testing, CI/CD, observability, quality), clear system boundaries and maintainable architecture, safe and secure deployment patterns for AI components at scale, AI performance, accuracy, and reliability monitoring through evals
  • Coach and upskill client engineers on pragmatic, safe adoption of AI tools and techniques
  • Keep yourself and your team up-to-date on the latest AI techniques and technology
  • Contribute to Softwire's internal capability building: patterns, accelerators, reusable approaches, and a strong culture of 'learning by building'

Requirements:

  • Senior engineering capability: significant experience building and shipping production software, confident working across architecture, implementation, deployment, and operational support
  • Technical leadership and delivery ownership: lead technical direction, choose appropriate patterns, establish standards, help teams make trade-offs, ensure work scales
  • Practical experience applying AI in real teams: enthusiastic about bringing AI into development teams, including AI tooling to support development (coding assistants, test generation, refactoring support, documentation acceleration, internal workflows) and building products that incorporate AI/LLM features (assistants/copilots, summarisation, document understanding, semantic search/RAG, extraction, classification, decision support, workflow automation)
  • Strong engineering fundamentals: automated testing strategies (unit/integration/e2e), good CI/CD hygiene and code review practices, clean boundaries and readable extensible code, observability and operational readiness (logging, monitoring, failure modes)
  • Confidence working with AI uncertainty and risk: understand AI systems behave differently, design for predictable behaviour, graceful degradation, appropriate safeguards, explain limitations clearly and manage risk responsibly
  • Strong balance of AI/engineering and client skills: bridge gap between business needs and technical approaches, familiarity with current AI landscape, focus on client needs, ability to innovate
  • Pragmatic, product-minded, outcomes-driven approach: start with user and business outcomes, challenge whether AI is right approach, prefer simple testable production-ready solutions over fragile prototypes, build AI-enabled features teams can confidently own and improve, work iteratively with short feedback loops and continuous learning, raise capability across teams by coaching, pairing, and sharing patterns
What we offer:
  • 25 days annual leave (with option to buy and sell)
  • time off for company-wide morale activities
  • time off for charitable/CSR activities
  • free annual eye test
  • opt-in health insurance
  • cycle to work scheme
  • payroll charity donations
  • additional 5% of salary pension
  • profit share based on role and overall company performance (£8,500 – £15,250 over last three years)

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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