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
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💰 - Day rate
Unknown
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🗓️ - Date
April 1, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Leeds, England, United Kingdom
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🧠 - 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