Forward Deployed AI Engineer

Insight Global; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Insight Global is seeking a Forward Deployed AI Engineer to support an Asset Management client in Manhattan. This role involves delivering end-to-end AI solutions, collaborating with stakeholders, and developing workflows using Azure AI services like Azure OpenAI and Document Intelligence.

The ideal candidate will have over 5 years of enterprise experience, proficient in Azure and AI development. They will also design CI/CD pipelines and communicate progress to stakeholders while ensuring compliance.

Qualifications

• 5+ years of experience in delivering end-to-end solutions.
• Strong hands-on Azure experience in enterprise environments.
• Experience with GitOps and Flux-based deployment workflows.

Responsibilities

• Own solutions from requirements and design through build, testing, and production deployment.
• Design and implement AI-powered workflows using Azure AI services.
• Manage multiple concurrent workstreams and lead UAT and release readiness.

Skills

Azure experience

DevOps practices

AI development

Stakeholder management

Terraform

Integration with data platforms

Tools

CI/CD pipelines

GitOps

DataDog

Jira

Job description

Job Description

Insight Global is seeking a Forward Deployed AI Engineer to join one of our most prominent Asset Management clients and sit 4 days/week in Manhattan. This person will be supporting Corporate, Compliance, Legal, and Risk functions. This is a hands‑on, end‑to‑end delivery role where the individual will own solutions from requirements and design through build, testing, and production deployment. The engineer will partner directly with business stakeholders and product teams to translate use cases into scalable AI‑driven solutions. They will design and implement AI‑powered workflows using Azure AI services, including Azure OpenAI, AI Search, and Document Intelligence, while leveraging agent frameworks and orchestration tools like Temporal. This role involves building and maintaining CI/CD pipelines, working within GitOps/Flux deployment patterns, and integrating solutions with enterprise data platforms such as Snowflake. The engineer will manage multiple concurrent workstreams, lead UAT and release readiness, and ensure solutions meet compliance and operational standards in a regulated environment. They will also communicate progress, risks, and trade‑offs to both technical and business stakeholders, while documenting solutions and supporting ongoing production operations.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail]. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 5+ years of experience
• Proven experience delivering end‑to‑end solutions in enterprise environments (design → build → deployment → support)
• Strong hands‑on Azure experience (AKS, Azure AI services, CI/CD pipelines, DevOps practices)
• Experience with GitOps and Flux‑based deployment workflows
• Proficiency with infrastructure as code (Terraform or similar)
• Deep experience with AI development (agent design, prompt engineering, workflow orchestration, model selection)
• Familiarity with AI‑assisted dev tools (e.g., Cursor, Claude, Codex)
• Hands‑on experience building real AI solutions (not just POCs) using modern frameworks/tools
• Experience integrating with data platforms (e.g., Snowflake, data services, APIs)
• Strong stakeholder management skills and ability to translate business requirements into technical solutions
• Ability to manage multiple workstreams and operate in fast‑paced, ambiguous environments
• Experience with Azure AI Foundry, Azure OpenAI, AI Search, and Document Intelligence
• Experience with Temporal or similar orchestration tools (AutoGen, LangGraph, CrewAI, OpenAI Agents SDK, etc.)
• Exposure to Compliance, Legal, Risk, or Corporate domains in financial services
• Experience with enterprise observability tools (Datadog, Prometheus, Grafana)
• Experience with ServiceNow, Jira, Okta, or identity/access systems
• Background working in regulated industries (financial services, etc.)