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
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
April 1, 2026
πŸ•’ - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - 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 β€’ AI Specialist (AI Foundry) Location β€’ Leeds (Hybrid – 3 days onsite per week) Job Type β€’ Contract (3 Months) Start Date β€’ Immediate Experience Required β€’ 10+ years in Data & AI / Applied AI Engineering Key Skills β€’ LLMs β€’ agentic AI β€’ AI system design β€’ RAG architectures β€’ vector databases β€’ cloud platforms: Azure, AWS, or GCP β€’ AI governance, ethics, and regulatory frameworks β€’ multi-agent systems β€’ orchestration frameworks β€’ data engineering β€’ data governance β€’ designing scalable, secure AI solutions β€’ stakeholder management β€’ executive communication skills β€’ mentoring and leading AI capability development Responsibilities β€’ Define and contribute to AI strategy, roadmap, and governance frameworks β€’ Lead enterprise assurance for high-risk AI systems and conduct deep technical reviews β€’ Act as SME for AI technologies including LLMs and agentic AI β€’ Design and evaluate multi-agent systems (memory, planning, orchestration, autonomy controls) β€’ Lead PoCs for advanced AI workflows and semi-autonomous systems β€’ Define enterprise AI patterns (RAG, vector search, prompt governance, orchestration) β€’ Provide technical advisory on model selection, prompting strategies, and architecture trade-offs β€’ Establish AI standards, guardrails, and reusable frameworks β€’ Drive AI enablement through tooling, accelerators, and evaluation frameworks β€’ Mentor teams and uplift AI capability across the organization β€’ Ensure strong data foundations (data quality, lineage, governance, privacy) β€’ Challenge vendor solutions through benchmarking and risk assessment Qualifications β€’ Experience in financial services or regulated industries β€’ Exposure to enterprise-scale transformation programs β€’ Strong commercial awareness and business case support β€’ Strong communication and stakeholder influence β€’ Strategic thinking with execution focus β€’ Ability to operate in ambiguous, fast-paced environments β€’ Problem-solving mindset with high ownership