Alphayotta
Forward Deployed AI Engineer

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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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt 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.
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.
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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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