

SoftNice
AI Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Specialist (AI Foundry) in Leeds (Hybrid) on a 3-month contract with an immediate start. Requires 10+ years in Data & AI, expertise in LLMs, agentic AI, and experience in financial services or regulated industries.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 1, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
-
📍 - Location detailed
Leeds, England, United Kingdom
-
🧠 - Skills detailed
#GCP (Google Cloud Platform) #Data Governance #Data Quality #Scala #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Data Engineering #Databases #"ETL (Extract #Transform #Load)" #Cloud #Strategy #Azure
Role description
Job Title
• AI Specialist (AI Foundry)
Location
• Leeds (Hybrid – 3 days onsite per week)
Job Type
• Contract (3 Months)
Start Date
• Immediate
Experience Required
• 10+ years in Data & AI / Applied AI Engineering
Key Skills
• LLMs
• agentic AI
• AI system design
• RAG architectures
• vector databases
• cloud platforms: Azure, AWS, or GCP
• AI governance, ethics, and regulatory frameworks
• multi-agent systems
• orchestration frameworks
• data engineering
• data governance
• designing scalable, secure AI solutions
• stakeholder management
• executive communication skills
• mentoring and leading AI capability development
Responsibilities
• Define and contribute to AI strategy, roadmap, and governance frameworks
• Lead enterprise assurance for high-risk AI systems and conduct deep technical reviews
• Act as SME for AI technologies including LLMs and agentic AI
• Design and evaluate multi-agent systems (memory, planning, orchestration, autonomy controls)
• Lead PoCs for advanced AI workflows and semi-autonomous systems
• Define enterprise AI patterns (RAG, vector search, prompt governance, orchestration)
• Provide technical advisory on model selection, prompting strategies, and architecture trade-offs
• Establish AI standards, guardrails, and reusable frameworks
• Drive AI enablement through tooling, accelerators, and evaluation frameworks
• Mentor teams and uplift AI capability across the organization
• Ensure strong data foundations (data quality, lineage, governance, privacy)
• Challenge vendor solutions through benchmarking and risk assessment
Qualifications
• Experience in financial services or regulated industries
• Exposure to enterprise-scale transformation programs
• Strong commercial awareness and business case support
• Strong communication and stakeholder influence
• Strategic thinking with execution focus
• Ability to operate in ambiguous, fast-paced environments
• Problem-solving mindset with high ownership
Job Title
• AI Specialist (AI Foundry)
Location
• Leeds (Hybrid – 3 days onsite per week)
Job Type
• Contract (3 Months)
Start Date
• Immediate
Experience Required
• 10+ years in Data & AI / Applied AI Engineering
Key Skills
• LLMs
• agentic AI
• AI system design
• RAG architectures
• vector databases
• cloud platforms: Azure, AWS, or GCP
• AI governance, ethics, and regulatory frameworks
• multi-agent systems
• orchestration frameworks
• data engineering
• data governance
• designing scalable, secure AI solutions
• stakeholder management
• executive communication skills
• mentoring and leading AI capability development
Responsibilities
• Define and contribute to AI strategy, roadmap, and governance frameworks
• Lead enterprise assurance for high-risk AI systems and conduct deep technical reviews
• Act as SME for AI technologies including LLMs and agentic AI
• Design and evaluate multi-agent systems (memory, planning, orchestration, autonomy controls)
• Lead PoCs for advanced AI workflows and semi-autonomous systems
• Define enterprise AI patterns (RAG, vector search, prompt governance, orchestration)
• Provide technical advisory on model selection, prompting strategies, and architecture trade-offs
• Establish AI standards, guardrails, and reusable frameworks
• Drive AI enablement through tooling, accelerators, and evaluation frameworks
• Mentor teams and uplift AI capability across the organization
• Ensure strong data foundations (data quality, lineage, governance, privacy)
• Challenge vendor solutions through benchmarking and risk assessment
Qualifications
• Experience in financial services or regulated industries
• Exposure to enterprise-scale transformation programs
• Strong commercial awareness and business case support
• Strong communication and stakeholder influence
• Strategic thinking with execution focus
• Ability to operate in ambiguous, fast-paced environments
• Problem-solving mindset with high ownership






