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Vallum Associates

AI Lead Engineer

Vallum Associates London
500 to 530
32 - 40 hour
new


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    Vallum Associates

    AI Lead Engineer

    Vallum Associates London
    500 to 530
    32 - 40 hour
    new
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £500 to £530
    Hours
    32 to 40 hours per week
    Employment type
    contract

    Job description

    Role : AI Lead Engineer

    Location: London, UK

    Type of Role: Contract

    Mode of work: 2 Days onsite in Week

    ( Exp Range 9+)

    JD:

    * Design agentic AI architectures using multi‑agent orchestration patterns (planner‑executor, supervisor‑worker, tool‑using agents).

    * Define reference architectures for enterprise agent platforms integrating LLMs with systems of record (core banking, CRM, risk, payments).

    * Design audit‑ready agent interactions, tool usage logs, and decision provenance.

    * Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns).

    * Hands‑on expertise with agentic frameworks (orchestrators).

    * Experience with LLMs, prompt engineering, tool/function calling, memory management.

    * Exposure to AI quality metrics: task success rate, groundedness, containment, FCR.

    * Experience on Google Cloud Platform (preferred) or equivalent hyperscale.

    * Deep understanding of LLMs, generative AI, RAG patterns, vector databases, embeddings, and prompt/guardrail engineering.

    Desirable skills/knowledge/experience: (As applicable)

    * Build Production Grade Agentic AI applications and necessarily have navigated through security, governance and performance management of the end to end model.

    * Strong understanding of regulated financial services environments.

    * Proven experience implementing AI risk controls, model governance, and auditability.

    * Strong experience designing end‑to‑end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring.

    * Hands‑on expertise with cloud AI platforms (GCP).

    * Strong knowledge of LLMOps practices, including CI/CD for models, model registries, feature stores, lineage tracking, and observability.

    * Experience architecting scalable real‑time, batch, and streaming inference systems with clear performance and reliability requirements.

    * Familiarity with secure cloud patterns, IAM, VPC design, and data protection.

    * Work with solution Architect and implement design along with team of engineers to ensure MVP delivered for Customer business banking usecases in onboarding / Credit assist
    Salary description

    £500.00 - £530.00 per day

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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