Forward Deployed Engineer, Private Markets
Cedar Peak PartnersAbout the role
Our client, a global alternative asset manager, investing across private equity, credit, infrastructure and real estate. It is putting AI into the daily work of its investment teams, and this is the engineering seat that builds it.
The seat
This is a forward deployed seat. Your users are internal: the people evaluating deals and running portfolios. You sit with them, watch how the work actually gets done, and find where fragmented data, manual handoffs and repetitive steps slow down the decisions that matter. Then you own the fix end to end, from architecture and code through data integration, evaluation, deployment and the adoption that makes it stick. You are paired with a business-side AI counterpart and you are both in the room from the first discovery conversation to the measurement afterwards.
What you will build
Production AI applications and agents for investment, credit and corporate teams
The plumbing that makes enterprise data usable: pipelines, retrieval, and interfaces that hold up on imperfect data
Reusable skills, tools, prompts, connectors and workflow components, so the second team gets it faster than the first
Evaluation that means something: accuracy, reliability, adoption, time saved, decision quality, risk
The judgment on each workflow, deciding where AI belongs, where ordinary software is better, and where a human stays in the loop
What you bring
A real engineering foundation: production systems you designed, built and operated
Python or TypeScript, with APIs, cloud, distributed systems and enterprise integration behind you
LLM applications shipped: agents, RAG, tool use, orchestration, and the evals to know whether they work
Data judgment: pipelines, databases, retrieval, and making messy enterprise data usable
Comfort in ambiguity: take a vague problem, ask the questions users cannot articulate, and converge on something concrete
Standards that survive speed: testing, observability, security, privacy
Commercial curiosity about how investments get evaluated and decisions get made
It would be beneficial if you have built AI systems in regulated environments. This role is based in New York City.
Responsibilities
- Build production AI applications and agents for investment teams
- Create data pipelines and interfaces for enterprise data
- Develop reusable skills, tools, and workflow components
- Evaluate AI applications for accuracy and decision quality
- Determine the appropriate use of AI versus traditional software
Qualifications
- Experience in designing and operating production systems
- Proficiency in Python or TypeScript with APIs and cloud systems
- Experience with LLM applications and data management
- Ability to work in ambiguous situations and clarify user needs
- Strong standards for testing, security, and observability
Skills mentioned
About Cedar Peak Partners
Energy access and security is fundamental to economic prosperity. Cedar Peak Partners enables its most critical resource - people. We envision a future where energy access is universal, driving economic growth and improving the lives of communities worldwide. We believe the catalyst for affordable, reliable and accessible power is a diverse energy mix. We focus exclusively on the Power & Gas markets, providing search and talent advisory services across Origination, Trading and Market Analytics. By focusing solely on these three talent functions we deliver faster placements, deeper candidate pools and a consultative edge you will not find with generalists. Our clients benefit from a Partner who truly understands the synergy and importance between these three talent functions, and how they contribute to a reliable and accessible energy supply, serving societal needs.