Akereos Capital
AI Solutions Architect / Developer
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Role Summary
Akereos is a boutique energy-transition investment bank providing M&A, debt advisory, intermediate capital solutions, power markets advisory, and asset-optimisation services. We are hiring a single, senior AI Solutions Architect / Developer to design, build, and embed AI-driven automation across our office operations and transaction workflows.
This is a hybrid, hands-on role: part trusted advisor to non-technical bankers, part builder. You will interview deal teams and operations staff to understand real workflow friction, then design and ship the automation, AI agents, and integrations that solve it end to end, initially, with no separate infrastructure or DevOps team behind you.
Key Responsibilities
- Act as internal AI consultant to senior staff and deal teams: translate banking and back-office workflows (deal screening, production of deal materials, data rooms financial modelling, due diligence, reporting) into automation and AI opportunities.
- Design and build AI-powered tools and agentic workflows using Microsoft's AI stack (Azure OpenAI / Azure AI Foundry) integrated with the firm's M365 environment.
- Own the underlying cloud architecture: hosting, security, identity, and data governance for all AI systems, appropriate to an FCA-regulated firm.
- Automate document-heavy processes (data room review, review of complex financial contracts, financial statement parsing) using document processing, OCR, and RAG over SharePoint/OneDrive content.
- Build lighter-weight automations with Power Platform (Power Automate, Power Apps) where a full custom build isn't warranted.
- Integrate with Outlook, SharePoint, Teams and CRM/deal-tracking tools via Microsoft Graph API.
- Present findings, prototypes, and trade-offs to senior, non-technical stakeholders in plain business language.
- Manage the automation roadmap end to end: discovery, build, deployment, and change management/adoption.
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Required Skills & Experience
- Strong Python skills for data processing, scripting, and API integration.
- Hands-on LLM/AI application development: prompt engineering, RAG pipelines, agentic workflows (e.g. LangChain, LlamaIndex, or equivalent).
- Solid cloud architecture experience on Microsoft Azure, including security, identity (Entra ID) and data residency considerations.
- Microsoft Graph API and Microsoft 365 integration experience (Outlook, SharePoint, Teams).
- Document processing / extraction experience (OCR, PDF parsing) at production quality.
- SQL and general data structuring skills.
- Strong Excel/VBA fluency.
- Excellent communication skills: demonstrated ability to translate business needs into technical specs and vice versa, for a non-technical, senior audience.
- Process mapping / change-management experience, ideally in a professional services or financial services environment.
- Microsoft Certified: Azure Solutions Architect Expert
- Claude Certified Architect - Foundations (Anthropic) strongly preferred
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Desirable
- Prior exposure to investment banking, private equity, or infrastructure finance workflows (deal lifecycle, financial modelling, deal materials) — domain fluency accelerates adoption significantly.
- Experience with vector databases and embeddings for internal knowledge search across historical transactions.
- Familiarity with regulatory/compliance considerations for AI use in an FCA-regulated environment.
- Microsoft Certified: Azure AI Engineer Associate
- PMP or equivalent project management certification
Initially, this will be a single-person hire covering the full loop from stakeholder discovery through architecture, build, and deployment with no direct reports. In time, a team may be formed.
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