Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 136 days ago

GenAI Engineering Lead

Bessemer Trust47 open roles

Where
Woodbridge, NJ, USA
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowGenAI Engineering LeadBessemer Trust · Woodbridge, NJ, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Bessemer Trust's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Bessemer Trust postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 136 days ago

Bessemer Trust median: 2 days open

The posting

We're looking for a GenAI Engineering Lead to design and build the agentic systems behind our AI platform on AWS, and to lead the design work that gets them shipped.

This is a builder's role first. You'll design multi-agent architectures, write the code for the hard parts yourself, own the technical direction of what we build, and set the patterns the rest of the team follows.

Agentic systems change fast. A large part of this job is staying ahead of that — evaluating new frameworks, models, and patterns before we need them, running small experiments to separate what's real from what's hype, and making calls today that won't trap us in six months. You'll bring that research back as working prototypes and clear recommendations.

You'll work closely with business stakeholders to turn ambiguous problems into agent designs that hold up in production, and with our GenAI platform and DevOps teams to get them deployed safely.

Reports to the Head of GenAI Development. Partners with the Lead GenAI Architect, the Process Automation team, and the Platform, Security and QA teams.

Responsibilities

  • Design and build agentic systems end to end — orchestration, tool and API integration, memory, retrieval, and human-in-the-loop patterns — and stay hands-on in the codebase.
  • Lead a team of developers: set technical direction, review designs and code, and mentor engineers.
  • Own the agent framework stack (LangGraph, Strands, Bedrock AgentCore, and what comes next) and the research behind it — evaluate what's emerging, prototype what looks promising, and make calls today that still hold up in six months.
  • Design the context layer our agents reason over — knowledge graphs, vector stores, and retrieval strategy — owning the data modeling, schema, and embedding decisions behind it.
  • Design and own the caching layer — semantic, prompt, and context caching with invalidation rules that keep results trustworthy — and drive latency and cost through model routing and right-sizing.
  • Own quality and safety: eval harnesses, regression suites, and observability for non-deterministic systems, plus guardrails, tool permissioning, PII handling, and human approval paths for high-impact actions.
  • Partner with business stakeholders to turn real problems into agent designs, work with platform and DevOps to deploy them securely, and leave behind the docs and reference patterns other teams build from.

Qualifications

  • 10+ years in software engineering, including 2+ building LLM-powered systems, including time as technical lead for a small team — setting direction, reviewing designs and code, and still writing code yourself.
  • Strong Python and modern engineering practice: testing, CI/CD, code review, observability, and iterative delivery.
  • Production experience with LLM-powered systems — breaking domain tasks down into reusable agents, tools, and skills, and shipping agentic workflows and RAG pipelines to real users rather than demos.
  • Depth in the retrieval and context layer: embeddings (including fine-tuned or domain-adapted models), vector search, chunking, and the data modeling and enrichment that determine retrieval quality — plus working knowledge of graph or other structured context stores and of caching strategies for latency and cost.
  • Hands-on with at least one agent framework or runtime (LangGraph, Strands, Bedrock AgentCore, or similar), with MCP or an equivalent tool-integration protocol, and a solid AWS foundation — Lambda, API Gateway, IAM, and Bedrock or equivalent model serving.
  • Experience defining evaluation methodology for non-deterministic systems — rubric-based or LLM-as-judge evaluation, metrics that reflect real task quality, and regression testing that catches drift.
  • A research habit: able to evaluate an emerging model, framework, or pattern quickly, form a defensible opinion, and explain it to stakeholders.

Preferred Qualifications

  • Running vector or graph stores in production — sizing, index tuning, re-embedding and reindexing, backups, and access control — and building GraphRAG or hybrid retrieval on top of them.
  • Tuning a semantic cache in production — setting similarity thresholds, measuring hit rate against false-hit rate, and handling invalidation as underlying data changes.
  • AWS Bedrock, AgentCore, or a comparable enterprise GenAI platform.
  • Fine-tuning, distilling, or otherwise adapting models for specific tasks, and serving self-hosted or in-house models in production.
  • Work in a specialized domain where correctness matters — legal, financial, or regulatory — including delivery in security-sensitive environments.
  • Understanding of MCP servers and gateways that expose internal systems and APIs, with authentication, scoped permissions, versioning, and a vetted catalog so teams reuse tools instead of rebuilding them.

The base salary range for this position is $200,000 - $240,000 per year. This range reflects the minimum and maximum base salary we reasonably expect to pay for this role. In addition, this position may be eligible to participate in the relevant business unit’s incentive compensation plan, and other compensation programs as applicable. Eligible employees may participate in a 401(k) program with a generous profit-sharing contribution, medical, prescription dental, and vision coverage; life insurance; disability coverage; paid holidays; vacation; and sick time, subject to plan terms and Company policies.

About Bessemer Trust

Bessemer Trust is a family office, overseeing more than $250 billion in assets for over 3,000 individuals and families of substantial wealth. Its more than 1,300 employees are singularly focused on private wealth management — disciplined investment management, sophisticated wealth planning, comprehensive family office services, and highly personalized client service.

Established in 1907 as the family office for Annie and Henry Phipps, Bessemer Trust is in its seventh generation of ownership by the Phipps family. As a self-made entrepreneur, Henry Phipps was a founding partner and chief financial officer of Carnegie Steel.

Bessemer Trust retains its original focus as a privately owned and independent wealth manager deeply committed to its mission of providing peace of mind to its clients. Bessemer’s adherence to putting clients’ interests first, fiduciary mindset, and highly collaborative culture are at the heart of everything the firm does.

Key Facts:

  • For 119 years, Bessemer Trust has operated continuously in a single line of business, independently owned by one family.
  • Headquartered in New York’s Rockefeller Center, Bessemer Trust has 22 offices in total. Woodbridge, NJ, is one of the firm’s largest offices, which hosts a wide range of technology and operations professionals. In addition to its sizable presence in New York and Woodbridge, the firm provides client service through offices in Atlanta, Boston, Chicago, Dallas, Delaware, Denver, Garden City, Grand Cayman, Greenwich, Houston, Los Angeles, Miami, Naples, Nevada, Palm Beach, San Diego, San Francisco, Seattle, Stuart, and Washington, D.C.
  • To watch a video about Bessemer Trust’s history, click here.
  • To learn more about Bessemer Trust, click here.

About Our Employee Rewards and Benefits:

We provide exceptional rewards and benefits that are among the best in the industry, giving our people access to a wide range of options, including:

  • Competitive base salary plus discretionary annual bonus for select positions
  • A 401(k) plan with a generous annual profit-sharing contribution
  • Personalized development and career opportunities, including tuition reimbursement support
  • Comprehensive medical, dental, and vision plans with zero contributions for employee coverage
  • Employee assistance (EAP) and wellness programs
  • Hybrid work environment: 60% in office, 40% remote for most positions
  • Paid time off and paid parental leave
  • Employer-paid life insurance and short- and long-term disability coverage
  • Legal services and financial wellness plans at no cost to employees

Bessemer Trust is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. We encourage candidates of diverse backgrounds to apply.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Bessemer Trust's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Bessemer Trust's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Bessemer Trust's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.