CrawlJobs Logo

Senior AI Consultant

United Kingdom, London 67700.00 - 88700.00 GBP / Year · Job Posted February 16, 2026
Apply Position
Job Link Share

Job Description

Softwire is looking for a Senior 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 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/RAG, summarisation, AI agents, assistants, classification, fine-tuning models, vector databases
  • Set teams up for sustainable success through strong engineering practices, maintainable architecture, and safe deployment patterns
  • 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

Requirements

  • Senior engineering capability with significant experience building and shipping production software
  • Technical leadership and delivery ownership
  • Practical experience applying AI in real teams
  • Strong engineering fundamentals including automated testing, CI/CD, clean code, and observability
  • Confidence working with AI uncertainty and risk
  • Ability to bridge the gap between business needs and technical approaches
  • Pragmatic, product-minded, and outcomes-driven approach

What we offer

  • Profit share (ranged £8,500 – £15,250 over last three years)
  • Pension: Additional 5% of salary
  • 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

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior AI Consultant

8 matching positions

Senior AI Consultant

We are looking for a Senior AI Consultant to join our UX team within the AI Prac...
Location
Location
Netherlands , Utrecht
Salary
Salary:
Not provided
sabiogroup.com Logo
Sabio Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Native/Fluent Dutch speaker, with strong English communication skills
  • Demonstrable experience designing automated contact centre journeys (voice or digital)
  • Strong consultancy skills — able to engage stakeholders, lead workshops, and drive consensus
  • Understanding of automation KPIs including containment, AHT, NPS, call deflection and CX metrics
  • Ability to turn customer business challenges into structured use cases and improvement plans
  • Comfortable working with technical and non‑technical audiences
  • Able to influence outcomes, facilitate decisions and manage differing viewpoints
  • Experience working with AI‑driven conversational or self‑service solutions
Job Responsibility
Job Responsibility
  • Lead customer workshops to design, review and optimise automated journeys for contact centres
  • Provide AI consultancy on best practice, conversational design, experience strategy and metric‑driven automation improvement
  • Analyse performance data and identify opportunities to improve containment rates, CX, efficiency and solution performance
  • Create clear, actionable use cases for development teams, ensuring alignment with business goals
  • Identify further automation opportunities, advising customers on prioritisation and expected impact
  • Work closely with customer stakeholders, facilitating discussions and enabling decision‑making even in complex or ambiguous scenarios
  • Collaborate with Sabio delivery, UX and engineering teams to ensure cohesive end‑to‑end solution delivery
  • Represent Sabio on‑site as required, providing a trusted local presence for Dutch‑speaking stakeholders
What we offer
What we offer
  • Pension Scheme
  • Remote/Flexible work
  • Life insurance
  • Private healthcare
Read More
Arrow Right

Senior AI Consultant

We are looking for a Senior AI Consultant to join our growing AI Advisory team a...
Location
Location
United Kingdom , Glasgow or Reading
Salary
Salary:
Not provided
fsp.co Logo
FSP
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 3 years of client facing experience working and leading on AI-led initiatives, with a strong track record of delivering measurable results
  • Strong AI technical knowledge in AI solution providers’ services including, but not limited to Microsoft, AWS, Google, Open AI etc
  • Skilled in using different techniques and tools to design and communicate AI narratives
  • Experience in using generative AI and LLM tools and frameworks
  • Experience in data analysis and machine learning programming languages, such as Python, R, SQL, Java etc.
  • AI consultancy experience supporting presales and bids
  • Proven stakeholder management skills, including at C-suite level
  • Excellent leadership, communication, and interpersonal skills, with the ability to effectively lead teams
  • Varied experience across a range of sectors and industries
  • Strong alignment with FSP values and ethos
Job Responsibility
Job Responsibility
  • Lead and manage engagements, partnering with clients to understand their requirements and challenges, and identify AI use cases and opportunities
  • Create AI strategies and run maturity assessments for clients
  • Design and architect AI solutions using established processes and best practices
  • Build and maintain strong relationships with clients, serving as a trusted advisor and subject matter expert in AI
  • Collaborate with internal teams and external partners to deliver high-quality, integrated AI solutions that meet client needs
  • Communicate and present the results and insights of AI solutions to clients and stakeholders
  • Actively contribute to the strategic development our AI strategy and capability
  • Drive thought leadership and innovation across FSP and our clients, staying up-to-date with emerging trends, technologies, and best practices in AI
  • Be a proponent of the principles and best practices of responsible AI
What we offer
What we offer
  • A collaborative and supportive environment in which you can grow and develop your career
  • The tools and opportunity to do work you can be proud of
  • A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience
  • Hybrid working – we empower you to make smart choices about when and where to work to achieve great results
  • Industry leading coaching and mentoring
  • Competitive salary and an excellent benefits package
  • Fulltime
Read More
Arrow Right

Senior Consultant, AI Business Solutions

Microsoft Industry Solutions Delivery (ISD) is a global organization of industry...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, Engineering, or related field AND demonstrated experience delivering production software solutions
  • 10+ years’ experience delivering enterprise-scale solutions on Microsoft platforms (Dynamics 365 / M365 Copilot/ Power Platform / Azure), including integration, security, and deployment in customer environments
  • Proven hands‑on, production-grade solutions across the full delivery lifecycle
  • Proven delivery of Dynamics 365 CE/Power Platform solutions, M365 Copilot Solutions, plus AI-infused workflows
  • Experience building or extending solutions involving Copilots, AI‑assisted workflows, or intelligent automation
  • Certifications/experience in Azure Solutions, Dynamics 365, M365 Copilot and Power Platform
  • Agile delivery, DevOps, CI/CD, and operational readiness
  • Azure solution development, Contact Center solutions, Copilot Studio, and building GenAI/agentic experiences
  • Excellent communication skills
  • Trusted customer-facing engineering presence
Job Responsibility
Job Responsibility
  • Embed with customer stakeholders to understand business workflows, constraints, and success metrics
  • translate ambiguous needs into clear requirements, solution hypotheses, and sprint deliverables for GenAI/agentic scenarios
  • Design and implement agentic and GenAI solutions on Microsoft platforms (e.g., Dynamics 365, M365 Copilots, Power Platform, Azure) including integrations, APIs, and automations
  • Prototype rapidly, then harden to production: build POCs for agentic workflows, validate with users, and evolve to production-ready implementations
  • Own end-to-end delivery from architecture through implementation: define build/test specifications, create eval and quality gates for GenAI outputs, and produce operational guides/runbooks
  • Identify and mitigate business/technical risks specific to AI systems
  • Support deployment and live stabilization: troubleshoot integrations and model behavior in real environments
  • Balance platform configuration with extensibility to maximize speed and maintainability
  • Build agentic workflows that invoke tools/APIs safely with guardrails, validation, and auditability
  • Implement evaluation strategies to measure output quality, groundedness, safety, and business impact
  • Fulltime
Read More
Arrow Right

Senior Consultant - AI & Infra

Microsoft Industry Solution - Global Center for Innovation and Delivery (GCID) d...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years of overall IT industry experience with at least 5+ years of handson expertise in Azure Infrastructure architecture, design, and operations.
  • Bachelor’s degree in computer science, Engineering, or equivalent professional experience
  • advanced technical certifications or higher education preferred.
  • Mandatory Microsoft Azure Administrator certification (AZ104)
  • Azure Solutions Architect Expert (AZ305) highly preferred.
  • Terraform Associate certification strongly valued, with proven experience in InfrastructureasCode (IaC) automation.
  • Cloud AI certification such as Microsoft Azure AI Fundamentals (AI‑900) or equivalent is a strong advantage, with practical understanding of AI/ML workloads on cloud platforms.
  • Experience across both application architecture and cloud infrastructure domains, with the ability to bridge development and operations teams effectively.
  • Professional certifications in Delivery Management methodologies (Scrum, Agile, ITIL, Change/Project Management) considered a strong advantage.
  • Proficiency in Python for automation, AI integration, and scripting across infra workflows
Job Responsibility
Job Responsibility
  • As a full Stack Infrastructure Consultant, design, build, and optimize endtoend cloud and onpremises infrastructure solutions, ensuring secure, scalable, and highperforming environments across the entire technology stack.
  • Collaborate with the customer/partner team of Chief Information Officers (CIOs), other C-level executives, and technical and business decision-makers to align customer vision with solutions.
  • Manages risk and Services business goals within engagements.
  • Responsible for technical quality assurance, identification, and mitigation of technical risk across customer or partner deliverables delivery technology strategy aligned solutions
  • Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners.
  • Applies information-compliance and assurance policies to ensure stakeholder confidence.
  • Identifies new processes and innovations to help customers or partners build and accelerate capabilities by using Microsoft technologies.
  • Identifies the best practice approach for a project, across a wide scope of technical issues, and develops or reuses intellectual capital with customers, world-wide, and for programs and initiatives across Microsoft.
  • Defines engagements and opportunities to use Intellectual Property (IP) and address product gaps, while leveraging existing IP and community resources to ensure consistency and improve predictability.
  • Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities.
  • Fulltime
Read More
Arrow Right

Senior Consultant, AI Business Solutions

Microsoft Industry Solutions Delivery (ISD) is a global organization of industry...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, Engineering, or related field AND demonstrated experience delivering production software solutions (or equivalent experience)
  • 10+ years’ experience delivering enterprise-scale solutions on Microsoft platforms (Dynamics 365 / M365 Copilot/ Power Platform / Azure), including integration, security, and deployment in customer environments
Job Responsibility
Job Responsibility
  • Embed with customer stakeholders to understand business workflows, constraints, and success metrics
  • translate ambiguous needs into clear requirements, solution hypotheses, and sprint deliverables for GenAI/agentic scenarios
  • Design and implement agentic and GenAI solutions on Microsoft platforms (e.g., Dynamics 365, M365 Copilots, Power Platform, Azure) including integrations, APIs, and automations that accelerate adoption and deliver measurable outcomes
  • Prototype rapidly, then harden to production: build POCs for agentic workflows (multi-step tasks, tool-use, orchestration), validate with users, and evolve to production-ready implementations with testing, monitoring, and secure deployment patterns
  • Own end-to-end delivery from architecture through implementation: define build/test specifications, create eval and quality gates for GenAI outputs, and produce operational guides/runbooks for reliability, safety, and maintainability
  • Identify and mitigate business/technical risks specific to AI systems (data access, prompt injection, hallucinations, privacy, compliance, latency, cost)
  • propose safeguards and fallback behaviors for agentic flows
  • Support deployment and live stabilization: troubleshoot integrations and model behavior in real environments, iterate quickly, and ensure successful go-live with clear ownership, monitoring, and incident playbooks
  • Balance platform configuration with extensibility to maximize speed and maintainability. Co-engineer with customer teams to ensure knowledge transfer, documentation, and reusable patterns. Drive delivery plans across the full lifecycle—discovery, build, eval, deployment, and operations—accounting for dependencies across data, security, and enterprise systems
  • Build agentic workflows that invoke tools/APIs safely (function calling patterns), with guardrails, validation, and auditability
  • Fulltime
Read More
Arrow Right

Senior Consultant - Data & AI

Microsoft Industry Solutions - Global Center for Innovation and Delivery Center ...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience
  • Bachelor's degree in computer science engineering or equivalent work experience
  • Customer facing Project delivery leadership experience involving solution design, project envisioning, planning, development and deployment of complex solutions with minimum of 5 plus years
  • Data Architecture & Platform Engineering
  • AI-First Delivery
  • Engineering Excellence & DataOps
  • AI / ML & Intelligent Systems
  • Innovation & Technical Thought Leadership
  • Team Leadership & Mentorship
  • Soft Skills & Mindset
Job Responsibility
Job Responsibility
  • Lead technical delivery of complex, cloud native and AI enabled engagements, contributing as a hands-on individual contributor and, where required, leading engineering teams to ensure high-quality, predictable outcomes
  • Define and drive the technology strategy for large and complex customer engagements, ensuring solutions are scalable, secure, compliant, and aligned to business objectives, architectural best practices, and Microsoft reference architectures
  • Design, develop, and deploy solutions on Microsoft Azure, accelerating customer value through the effective use of Microsoft technologies, platforms, and delivery methodologies while meeting quality, time, and cost constraints
  • Identifies the best practice approach for a project, across a wide scope of technical issues, and develops or reuses intellectual capital (IP) with customers, world-wide, and programs and initiatives across Microsoft
  • Identifies dependencies and risks that go beyond the immediate scope and timeframe for a complex project
  • Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations
  • Collaborates, as appropriate, with peers and cross-functional teams to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions for strategic Microsoft products and services
  • Drives AI-First data engineering principles and mindset in the team to make the best of AI tools and services while helping in orchestration, transformation, and operationalization of AI/ML-powered data solutions
  • Continuously upskill self to become strong Full stack data engineer, inspire their team as much, to be able to build future-ready skills, collaborate with other specialist teams, product teams, and customers to co-create innovative solutions and help the customers tackle some of their biggest challenges
  • Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities
  • Fulltime
Read More
Arrow Right

Senior AI Enablement Consultant

We are seeking an experienced Senior AI Enablement Consultant to support the est...
Location
Location
Hong Kong , Hong Kong Island, Hong Kong
Salary
Salary:
Not provided
oliverjames.com Logo
Oliver James
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field
  • 8+ years of relevant experience in AI, Data Science, Machine Learning, or Advanced Analytics
  • Ideally, experience within insurance or financial services
  • Proven track record delivering AI solutions in complex, multi-country environments
  • Strong hands-on experience with Generative AI technologies, including prompt engineering and understanding of LLM limitations & mitigations (grounding, citations, refusal, human review)
  • Practical experience building Agentic AI workflows with orchestration and tool integration
  • Strong proficiency in Python, SQL, and modern ML frameworks
  • Experience with GenAI-enabled software engineering to boost developer productivity
  • Hands-on experience with major cloud AI platforms (Azure AI Foundry, AWS SageMaker/Bedrock, GCP Vertex AI, or Databricks)
  • Strong leadership and stakeholder management skills
Job Responsibility
Job Responsibility
  • Define AI/GenAI requirements and roadmap across key functions (Procurement, HR, Finance, Technology, and others)
  • Monitor industry trends and emerging technologies, championing their adoption
  • Design and deliver technical workshops and training on GenAI, prompt engineering, and agentic AI
  • Lead the design, development, and deployment of AI/GenAI and advanced analytics use cases
  • Establish a regional AI hub/marketplace for easy access to tools and solutions
  • Develop an agentic AI framework including guardrails, evaluation mechanisms, reference architectures, templates, and reusable tools
  • Equip technical teams with modern tools, platforms, reference architectures, and best practices
  • Provide hands-on mentorship and technical guidance to data science teams across Asian markets
  • Assess and uplift data science maturity, identifying gaps and recommending actions
  • Support local teams in delivering AI/GenAI use cases and achieving measurable business outcomes
What we offer
What we offer
  • HK$benefits
  • Fulltime
Read More
Arrow Right

Senior Consultant, Apps & AI

As a Senior Consultant you will be responsible for delivering high quality solut...
Location
Location
Malaysia , Bukit Jalil
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of technology-related experience in software/solution engineering, cloud computing, architecture and delivery leadership roles
  • Proven experience in leading delivery of complex, multi-disciplinary projects
  • Strong understanding of modern delivery methodologies (Agile, Scrum, DevOps, etc.)
  • Excellent communication, stakeholder management, problem-solving, and team leadership skills
  • In depth expertise in Full Stack Application Engineering (.NET, Java, Node.js, Python, microservices, distributed systems, relational and NoSQL databases)
  • In depth expertise in AI‑Enabled Application Development (Azure OpenAI, Azure AI Services, custom machine learning, agentic AI systems, RAG architectures)
  • In depth expertise in Cloud‑Native Architecture (Azure)
  • In depth expertise in DevOps, Platform & Developer Productivity (CI/CD, Infrastructure-as-Code, observability, DevSecOps, Azure DevOps, GitHub)
  • In depth expertise in Solutioning, Pre-Sales & Technical Leadership
  • Ability to pass AI-900, AI-102, DP-100 certifications in first 6 months
Job Responsibility
Job Responsibility
  • Provide strong client-facing consulting, demonstrating communication, stakeholder management, problem-solving, and team leadership, while acting as a trusted advisor across pre-sales and delivery
  • Assess business requirements and identify high-value AI-enabled application opportunities, translating them into scalable architectures, solution designs, and delivery roadmaps
  • Design and build scalable, secure full-stack applications using modern frameworks and backend technologies (.NET, Java, Node.js, Python) with microservices and distributed systems
  • Deliver AI-enabled applications using Azure OpenAI, Azure AI Services, and custom ML models, including agentic AI systems and optimized RAG architectures
  • Architect cloud-native solutions on Azure, ensuring scalability, resilience, security, identity integration, and alignment with enterprise best practices
  • Lead end-to-end delivery lifecycle (discovery → design → build → deploy → optimize), ensuring solutions are production-ready and aligned to business outcomes
  • Implement DevOps and platform engineering practices, including CI/CD pipelines, Infrastructure-as-Code, DevSecOps, and developer productivity improvements
  • Drive deployment and release management, including environment provisioning, automated deployments, and advanced rollout strategies (blue-green, canary, rolling) with post-deployment validation and optimization
  • Establish operational excellence, including monitoring, observability, reliability (SRE), incident management, and transition to support teams
  • Lead solutioning, pre-sales, and technical leadership, including architecture design, estimations, proposals, and ensuring measurable business value, scalability, and performance of AI and application solutions
  • Fulltime
Read More
Arrow Right