Forward Deployed AI Engineer

Job Title: Forward Deployed AI Engineer

Location: : NYC NY (ONSITE 3 DAYS A WEEK)

JOB DESCRIPTION :

This role operates at the intersection of business and engineering, working closely with client stakeholders and internal leadership to understand the evolving AI landscape and identify high-value problem areas. The Forward Deployed Engineer translates business needs into practical, scalable AI/ML solutions, rapidly prototypes and validates them, and builds a compelling business case for executive review (including CEO-level presentations). Upon approval, they lead end-to-end deployment integrating solutions into production environments, collaborating with cross-functional teams, and ensuring measurable impact, adoption, and continuous optimization.

The ideal candidate brings strong engineering fundamentals, deep practical experience with AI tools and workflows, and the maturity to operate effectively across technical and business audiences. You are comfortable taking ownership in ambiguous situations and are focused on shipping working solutions, not managing process.

Mandatory skills

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

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

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