Ai deployment strategist Work, Jobs in Warmley, Gls (with Salaries)

AI Deployment Strategist
SmartStream —Bristol
- £80,000 - £130,000 a year
- Master's degree
- Bachelor's degree
- No degree
AI Deployment Engineer
SmartStream —Bristol
- £80,000 - £130,000 a year
- Azure
- Computer Science
- Engineering
Agentic Platform Architect / Systems Administrator
BGBx —Bristol
- £65,000 - £75,000 a year
- Remote
- Azure
- DevOps
- Master's degree
- Annual leave
- Life insurance
Quick apply
Senior Appian Development Consultant
Valtech Group —Bristol
- SQL
- APIs
- Agile
2d
Technical Lead
PA Consulting —Bristol
- Full-time
- Hybrid work
- Azure
- Java
- AWS
- Annual leave
Quick apply

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AI Deployment Strategist
SmartStream —Bristol
Working across teams such as ops, finance, sales, and support, you will translate business problems into working AI solutions, collaborating closely with the AI…
£80,000 - £130,000 a year
AI Deployment Engineer
SmartStream —Bristol
Strong debugging instincts and a high bar for reliability and data integrity. Experience • 3–5 years in software or data engineering with strong exposure to…
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ai deployment strategist jobs near warmley, gls

AI Deployment Strategist

SmartStream -
Bristol

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Job details

Permanent
£80,000 - £130,000 a year

Qualifications

Law
Software deployment
Master's degree
Bachelor's degree
Product management
AI
Python

Full job description

Vacancy Reference

VN3005

Location Country

United Kingdom

Location City

Bristol

Description

AI Deployment Strategist
Location: Bristol/London - Hybrid, 3 days in the office
Salary: £80,000 - £130,000 p/a dependent on experience + excellent benefits

An embedded builder-consultant who partners with business units to identify AI automation opportunities — and builds them. You will lead discovery, develop agents, own deployment, and drive adoption across the organisation. This is not a strategy-only role; you will be building and shipping solutions alongside stakeholders.

Working across teams such as ops, finance, sales, and support, you will translate business problems into working AI solutions, collaborating closely with the AI Deployment Engineer where deep infrastructure is required.

Job Responsibilities

Partner with business units to identify and scope high-impact AI and automation opportunities

Lead discovery and scoping sessions, then build the solution yourself

Design and develop AI agents and workflows using Python and LLM frameworks

Work with the AI Deployment Engineer to hand off anything requiring deep infrastructure

Own post-deployment adoption: training, feedback loops, and iteration

Build a library of reusable agent components and playbooks

Proactively surface new automation opportunities across the business

Key Skills

Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex)

Prompt engineering & RAG pipelines

Business analysis & stakeholder management

Process mapping & workshop facilitation

Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make)

Desirable Skills

Experience in a deployment or implementation-focused technical role

Familiarity with RPA tools

Product management or solutions engineering background

Claude Code, Claude Cowork, or Claude Skills

Qualifications

Bachelor's degree in a relevant STEM field, or equivalent practical experience

Experience

3–5 years in a role blending business problem-solving with hands-on technical building — solutions engineering, technical consulting, or a deployment/implementation role.

Able to design and build working AI agents and automation workflows independently using agent frameworks (LangChain, CrewAI, LlamaIndex, or similar) and / or tools such as Microsoft Copilot Studio, Claude Skills etc.

Strong enough technically to assess feasibility and scope what is buildable; commercially sharp enough to prioritise what is worth building.

Familiarity with LLMs, RAG pipelines, tool/function calling, and integrating AI into real business workflows.

Proven ability to lead discovery workshops and translate complex business problems into clear, executable briefs.

Comfortable owning a project end-to-end: discovery build deploy adoption.

Excellent stakeholder management — able to run a workshop with a sceptical ops team and earn trust quickly. 8. Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus.

Nice to have: no-code/low-code tools (Zapier, Make, Power Automate) for rapid prototyping alongside coded solutions.

Background or experience as software engineer for 1-2 years

Employment Type

Permanent

Benefits

Equality Statement

Smartstream is an equal opportunities employer. We are committed to promoting equality of opportunity and following practices which are free from unfair and unlawful discrimination.

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ai deployment strategist jobs in warmley, gls

AI Deployment Strategist

AI Deployment Engineer

Agentic Platform Architect / Systems Administrator

Senior Appian Development Consultant

Technical Lead

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