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Alphayotta

Forward Deployed AI Engineer

United Kingdom
Posted about 21 hours ago
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Key Responsibilities

Delivery & Execution

  • Lead end-to-end solution delivery across Corporate, Compliance, Legal, and Risk Management domains — from design and build through UAT and production deployment
  • Own release readiness: manage UAT-to-production transitions, validate operational quality, and ensure solutions meet the firm's engineering and compliance standards
  • Build and maintain CI/CD pipelines and DevOps processes on Apollo's Azure-based platform, working within established GitOps and Flux deployment patterns
  • Manage delivery across multiple concurrent workstreams, coordinating with engineering, product, and business teams to maintain momentum and remove blockers

AI-Enabled Solution Design & Build

  • Apply AI tools, agent frameworks, and workflow orchestration to solve business-critical problems — selecting the right approach and model for each use case rather than defaulting to the most complex solution
  • Design and implement agent workflows on Apollo's Axon SDK and Azure AI Foundry, integrating Azure OpenAI, Document Intelligence, and AI Search
  • Build multi-step automations and AI pipelines using Temporal as the firm's enterprise workflow orchestrator
  • Integrate solutions with Apollo's data platform — consuming Snowflake data through the Delphi data PaaS, connecting to operational systems, and working within the firm's data governance model
  • Expose and consume capabilities through Apollo's internal Model Context Protocol (MCP) broker pattern

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Stakeholder Engagement

  • Work directly with business leads, product managers, and domain teams to gather requirements, shape use cases, and translate them into clear, deliverable technical solutions
  • Communicate progress, risks, and trade-offs clearly to both technical leads and senior business stakeholders
  • Contribute to solution documentation, runbooks, and knowledge transfer as a standard part of delivery

Required Skills & Experience

Engineering & Delivery

  • Proven track record of end-to-end solution delivery in production enterprise environments — design through deployment and ongoing operation
  • Strong hands-on experience with Azure: AKS, Azure AI services, CI/CD pipeline implementation, and DevOps practices
  • Solid understanding of GitOps deployment patterns and Flux-based release workflows
  • Experience writing infrastructure configuration — Terraform or equivalent IaC — in a team-managed environment
  • Comfortable working across the full delivery lifecycle including UAT coordination, operational readiness, and post-launch support

AI & Automation

  • Deep practical experience with AI development workflows: agent design, prompt engineering, workflow orchestration, and model selection
  • Hands-on experience with AI frameworks and orchestration tools — applied to real delivery problems, not proof-of-concept work
  • Fluency with AI-assisted development tooling (Cursor, Claude, Codex) as a primary accelerant for engineering delivery
  • Working knowledge of Azure AI Foundry, Azure OpenAI, Document Intelligence, and AI Search is strongly preferred
  • Experience with Temporal or a comparable workflow orchestration platform is a plus

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Domain & Environment

  • Exposure to Corporate, Compliance, Legal, or Risk Management functions; understanding of the domain accelerates delivery significantly
  • Strong communication and stakeholder management skills; ability to operate credibly at both working and senior levels
  • Ownership mindset, high accountability, and the flexibility to meet delivery commitments in a demanding environment

The Client Platform

AI & Agents

Axon SDK · Azure AI Foundry · Azure OpenAI · Document Intelligence · AI Search · MCP broker

Orchestration

Temporal — agent runs, ETL pipelines, multi-step automations

Data

Snowflake via Delphi · Event Hubs · ADLS Gen2 · Cosmos DB · Redis · EDB Postgres

Cloud & Deployment

Azure · AKS · Flux GitOps · GitHub Actions · Terraform central module catalog

Observability

Datadog · Prometheus / Grafana · PagerDuty

ITSM & Identity

ServiceNow · Jira · Okta (OIDC) · Active Directory

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Skills

Azure
DevOps
CI/CD
GitOps
Terraform
AI Development
Workflow Orchestration
Agent Design
Prompt Engineering
Azure AI Foundry
Document Intelligence
AI Search
Temporal
Snowflake
Data Governance
Stakeholder Management

Location

United Kingdom

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