Forward Deployed Engineer

Apollo
New York, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

New York, United States of America

Tech stack

Artificial Intelligence
Azure
Delphi
Cloud Computing
Continuous Integration
Data Governance
Data Infrastructure
ETL
Cursor (Graphical User Interface Elements)
DevOps
Github
PostgreSQL
Platform as a Service (PAAS)
Redis
Azure
Azure
Search Technologies
Software Deployment
Systems Integration
Workflow Management Systems
Azure
Snowflake
Multi-Agent Systems
Prompt Engineering
Model Validation
Build Management
Cosmos DB
Azure
Operational Systems
Machine Learning Operations
Terraform

Job description

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

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

Requirements

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, 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

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

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