AI Solutions Architect at Optima Partners | GB | Rezi

AI Solutions Architect at Optima Partners

AI Solutions Architect

Optima Partners · GB

1 weeks ago

AI Solutions Architect

Optima Partners · GB

7 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this AI Solutions Architect role.

Rezi rewrites your resume against Optima Partners's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the AI Solutions Architect posting at Optima Partners — free, in seconds.

About the Role

Define and deliver end-to-end AI solution architectures that help clients transform business processes, improve decision-making, and unlock measurable value from modern AI, with a strong focus on generative AI, agentic AI, retrieval-augmented generation, and cloud-native delivery. This role combines hands-on technical leadership with the ability to translate complex business challenges into scalable, secure, and production-ready solutions within Optima’s growing AI capability.

Responsibilities

  • Define and implement end-to-end AI solution architectures incorporating modern generative and agentic capabilities, ensuring they are scalable, secure, and production-ready.
  • Design AI application patterns such as RAG, orchestration and multi-agent workflows, tool and function calling, and human-in-the-loop processes, integrating them with enterprise data, APIs, and microservices.
  • Ensure AI solutions integrate cleanly into cloud-native PaaS and SaaS environments, with robust approaches to real-time and batch processing.
  • Establish best practices for prompt engineering, model selection, grounding, evaluation, and guardrails across AI solutions.
  • Lead AI and LLM proof-of-concepts at client sites, rapidly demonstrating how generative and agentic approaches can deliver measurable business value.
  • Apply hands-on experience of agentic capability, including tool use, orchestration, autonomous and multi-agent workflows, to design and build working solutions.
  • Support early industrialisation of AI solutions, contributing to the adoption of MLOps, LLMOps, and AIOps practices.
  • Ensure AI solutions meet relevant standards and regulations for security, privacy, and responsible AI, particularly in public sector and regulated environments.

Requirements

  • Experience designing and delivering end-to-end AI solution architectures, including LLM applications, RAG-based systems, AI agents, agentic workflows, and intelligent automation.
  • Strong understanding of solution architecture principles, cloud-native design, enterprise integration, APIs, microservices, and scalable software delivery.
  • Hands-on capability with Python and SQL.
  • Practical knowledge of AI orchestration frameworks such as LangChain, LangGraph, or similar technologies.
  • Knowledge of vector databases, semantic retrieval, prompt engineering, model selection, grounding techniques, evaluation approaches, and AI guardrails.
  • Experience working with cloud environments and enterprise platforms, with Azure experience preferred.
  • Understanding of PaaS, SaaS, real-time, and batch processing patterns.
  • Familiarity with Docker, CI/CD, infrastructure approaches, MLOps, LLMOps, AIOps, observability, versioning, and production operations is advantageous.
  • Strong understanding of responsible AI, security, privacy, governance, data lifecycle, and data quality considerations, including risks such as hallucination, bias, data leakage, and prompt injection.
  • Excellent consulting, communication, and stakeholder management skills, with the ability to translate business needs into clear technical direction.
  • Commercial curiosity, a proactive mindset, and a passion for emerging AI technologies, reusable accelerators, and identifying opportunities to create measurable business value.

Skills

  • Generative AI
  • Agentic AI
  • Retrieval-Augmented Generation (RAG)
  • Cloud-native delivery
  • Python
  • SQL
  • LangChain
  • LangGraph
  • Vector databases
  • Semantic retrieval
  • Prompt engineering
  • Model selection
  • Grounding techniques
  • Evaluation approaches
  • AI guardrails
  • Azure
  • PaaS
  • SaaS
  • Real-time processing
  • Batch processing
  • Docker
  • CI/CD
  • MLOps
  • LLMOps
  • AIOps
  • Observability
  • Versioning
  • Production operations
  • Responsible AI
  • Security
  • Privacy
  • Governance
  • Data lifecycle management
  • Data quality
  • Consulting
  • Communication
  • Stakeholder management

Location

  • Edinburgh, UK

Work Type

  • Full-time

Experience Level

  • Senior

Salary/Compensations

  • Competitive base salary
  • On-target performance bonus of up to 15%

Benefits

  • Up to 37 days holiday (inclusive of personal and public allocations)
  • Private medical insurance (single cover)
  • Group life and income protection insurance
  • Salary sacrifice pension scheme
  • Access to over 1,000 perks and discounts via an employee discount portal
  • Dedicated development time
  • Tools and funding to support personal and professional development

About the Company

  • Optima Partners is an advanced data and business consultancy headquartered in Edinburgh, UK.
  • We are a practitioner-led organisation that collaborates with top consumer brands to drive transformation and foster customer-centricity through our expertise in customer strategy, innovative design, and advanced data science and engineering.
  • We are proud to include leading UK and global brands among our current clients, including Lloyds Banking Group, NatWest Group, Bank of Ireland, Nationwide, Aviva, Biogen, Eon Next, OVO, Virgin Media O2, BT, HMD Global, Centrica and GSK.
  • We are obsessive about delivering value for our clients and work in a collaborative, engaged, and creative way with our colleagues and clients.