Forward Deployed Engineer

This is a senior, hands-on technical role for someone who thrives at the intersection of software engineering, applied AI and customer problem-solving. You will turn complex and often ambiguous business challenges into secure, scalable and commercially viable AI solutions, taking ownership from early discovery and rapid prototyping through to production deployment.

You will work directly with partners and customers as a senior technical contributor, working alongside Solution Architects and multidisciplinary teams to make pragmatic technical decisions and solve difficult implementation problems. This is an individual-contributor technical leadership role, with significant influence but no formal line-management responsibility.

Responsibilities

Lead the technical delivery of complex AI engagements, owning implementation, deployment approach, technical risk and engineering priorities.

Work directly with customers and senior stakeholders to translate ambiguous business challenges into practical AI solutions.

Rapidly prototype, test and iterate AI solutions with customers to validate assumptions, feasibility and value.

Design, build and deploy production-grade generative AI, agentic and other applied AI solutions.

Remain hands-on throughout delivery, contributing code, integrations, evaluations and technical implementation.

Work alongside Solution Architects to translate customer requirements and constraints into appropriate solution designs and implementation approaches.

Integrate AI capabilities with enterprise systems, data, APIs, workflows and security models.

Establish appropriate approaches for AI evaluation, observability, guardrails, human oversight and operational monitoring.

Diagnose and resolve complex technical problems encountered when deploying AI into customer environments.

Conduct design and code reviews while mentoring engineers and improving technical capability across the practice.

Collaborate with Sales, Solutions Engineering, Product, Research, Architecture and Customer Success to align strategy and resolve delivery dependencies.

Create reusable frameworks, accelerators, playbooks and solution patterns from customer delivery experience.

Ensure solutions meet appropriate security, privacy, legal, responsible AI, governance and enterprise risk requirements.

Explain complex AI and engineering concepts clearly to technical and non-technical audiences.

Contribute customer insight and implementation learning to Insight’s AI services, capabilities and go-to-market approach.

Experience Required:

Significant experience delivering software, AI, machine learning or applied AI solutions within complex, customer-facing enterprise environments.

Strong software engineering capability using languages such as Python or TypeScript/JavaScript.

Hands-on experience building solutions using modern foundation models, LLM APIs and associated AI platforms.

Practical experience with generative AI patterns including RAG, tool/function calling, structured outputs and agentic workflows.

Experience designing evaluation approaches covering AI quality, reliability, safety and performance.

Experience integrating AI solutions with enterprise data, APIs, applications and workflows.

Experience deploying and operating AI solutions using platforms such as Azure or AWS, or within customer-controlled environments.

Strong understanding of AI application architecture, orchestration, model selection, context management, observability and LLM operations.

Strong understanding of production engineering practices, solution architecture, security, testing and maintainability.

Ability to operate effectively where requirements are incomplete or ambiguous, using experimentation and iterative delivery to converge on solutions.

Proven experience working directly with senior customer stakeholders while maintaining strong technical credibility with engineering teams.

Strong commercial awareness and judgement to balance customer value, technical risk, delivery speed and scalability.

Experience creating reusable technical frameworks, components, standards or delivery patterns.

A degree in Computer Science, Software Engineering, Data Science, AI or a related discipline, or equivalent practical experience.

A commitment to continuous learning, responsible AI and staying current with developments in AI technology, governance and market expectations.

What success looks like

You will turn difficult customer problems into secure, scalable and high-quality AI solutions that create demonstrable value in production. Your work will reduce delivery risk and turn customer implementation learning into reusable capabilities that can be applied across customers, industries and geographies.

Success will also be reflected in production adoption, strong technical stakeholder feedback, repeat or expanded customer engagements, improved engineering capability and the consistent adoption of reusable frameworks and delivery playbooks.

Benefits

6% Matched pension

Annual salary reviews

25 days holiday + bank holidays + 5 day buy/sell/carry over scheme

Private Health Insurance through Vitality

Eye care

Electric car and cycle to work schemes

Enhanced parental leave

1 month work from EMEA policy

Clear growth and progression plans

High street brand & gym discounts

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