Forward Deployed Engineer

Academic Key; West of England; Ibrido; GBP 90.000 - 140.000; Tempo pieno

Descrizione del lavoro

Insight Enterprises, Inc. is seeking a Forward Deployed AI Engineer to lead the design, delivery and scaling of high‑impact AI solutions for strategic customers. You will operate across discovery, prototyping and production, working closely with Solution Architects and multidisciplinary teams in a hybrid Bristol environment.

You will own implementation priorities, mentor engineers and ensure secure, observable AI deployments while aligning with enterprise risk requirements.

Competenze

• Significant experience delivering software, AI, ML or applied AI solutions in enterprise environments.
• Strong software engineering with Python or TypeScript/JavaScript.
• Hands-on with foundation models, LLM APIs and AI platforms.
• Experience with generative AI patterns including RAG and tool calling.
• Experience designing evaluation approaches for AI quality and safety.
• Experience integrating AI with enterprise data, APIs and workflows.

Mansioni

• Lead the technical delivery of complex AI engagements, owning implementation and priorities.
• Translate ambiguous business challenges into practical AI solutions with customers.
• Prototype, test and iterate AI solutions to validate feasibility and value.
• Design, build and deploy production‑grade generative AI and related solutions.
• Remain hands‑on, contributing code, integrations and evaluations.
• Collaborate with architects to translate requirements into designs and approaches.
• Integrate AI capabilities with enterprise systems, data, APIs and workflows.
• Establish evaluation, guardrails, oversight and monitoring for AI deployments.
• Diagnose and resolve complex deployment issues; conduct reviews and mentor engineers.
• Collaborate across Sales, Solutions Engineering, Product, Research and Customer Success.
• Create reusable frameworks and solution patterns from delivery experience.
• Ensure solutions meet security, privacy, governance and risk requirements.
• Explain AI concepts clearly to technical and non‑technical audiences.

Conoscenze

Python

TypeScript

JavaScript

Foundation models

LLM APIs

RAG

Agentic workflows

AI platforms

Azure

AWS

Security

Observability

Descrizione del lavoro

All jobs ARBEITNOW

Forward Deployed Engineer

Insight · Bristol

Abroad Bristol Link validated Insight Enterprises, Inc. is a Fortune 500 Solutions Integrator helping organizations accelerate transformation by unlocking the power of people and technology. We architect, build and manage solutions for complex IT environments to deliver outcomes that contribute to our clients' success. Our portfolio of digital transformation services includes deep expertise in cloud, data, AI, cybersecurity and intelligent edge. These services, augmented by Insight's longstanding relationships with 6,000+ technology partners across the globe, enable us to deliver the right technical solutions quickly and effectively. We're rated as a Great Place to Work, a Forbes Best Employer for Diversity and a Forbes World's Top Female-Friendly Company.

Role: Forward Deployed AI Engineer

Location: Bristol HQ – Hybrid Model & Travel across EMEA region

Salary: DOE

We are looking for an experienced AI Forward Deployed Engineer to lead the design, delivery and scaling of high-impact AI solutions for strategic customers. 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, techni