AI Delivery Engagement Lead (FS Poly Required)

August Schell; McLean (VA); Presencial; USD 140 000 - 180 000; Tempo integral

Resumo da oferta

August Schell seeks an AI Delivery Engagement Lead to sit at the front edge of an Intelligence Community customer's adoption of commercial AI in McLean, VA. You will scope compelling use cases, run delivery, and own the customer relationship, translating analyst needs into platform actions and feedback.

You will bridge engineering conversations and mission requirements, manage onboarding, and guide cross-functional teams through end-to-end delivery in a trusted, on-site engagement.

Qualificações

• Active TS/SCI clearance with Full Scope Polygraph.
• Experience with this customer or government environment.
• Technical foundation in CS/engineering/data science; AI/ML interest.
• Willingness to work on-site in McLean, VA.
• Ability to translate mission needs into technical scope and back.
• Willingness to travel ~25% and be forward-deployed.

Responsabilidades

• Scope AI and agentic-workflow use cases with mission customers; shape deliverables.
• Own end-to-end delivery for those use cases: requirements, sequencing, coordination.
• Lead cross-functional teams across platform engineering, data operations, and government stakeholders.
• Serve as the customer’s primary point of contact; manage onboarding and risk.
• Translate mission requirements into technical scope for engineers, and vice versa.
• Work hands-on on data operations and production model plumbing as needed.
• Identify repeatable patterns to scale wins across the customer organization.
• Grow the account by spotting adjacent use cases and expanding the footprint.

Conhecimentos

TS/SCI clearance

On-site McLean

Technical background

Strong communicator

Problem solving

Travel 25%

Formação académica

CS/Engineering degree

Ferramentas

Python

SQL

MLOps

Cloud platforms

Descrição da oferta de emprego

August Schell is looking for an AI Delivery Engagement Lead to sit at the front edge of an Intelligence Community customer's adoption of commercial AI. This is the seat between a fast-moving AI platform and the mission users who have to trust it: you scope the use cases, run the delivery, and own the relationship — translating what the analysts actually need into what the platform actually does, and back again.

This is not a data-science bench role and it is not a project-administration role. It is a customer-facing delivery seat for someone technical enough to be credible in an engineering conversation and social enough to be the person the customer asks for by name.

Individuals in this role must hold an active TS/SCI with Full Scope Polygraph and be able to work on site in McLean, VA.

Responsibilities

• Scope AI and agentic-workflow use cases directly with mission customers — find the operational pain, size it, and shape it into something deliverable
• Own delivery end-to-end for those use cases: requirements, sequencing, cross-functional coordination, and the status conversation with the customer
• Lead cross-functional teams spanning platform engineering, data operations, and government stakeholders — without formal authority over most of them
• Serve as the customer's primary point of contact — run onboarding, manage relationship health, and surface risk before it becomes a problem
• Translate in both directions: mission requirements into technical scope for the engineering team, and technical constraints into plain language for government leadership
• Work model and data operations problems hands-on where needed — evaluation, quality, human-in-the-loop workflow design, and the operational plumbing around a model in production
• Identify patterns worth standardizing and turn one-off delivery wins into a repeatable motion across the customer's organization
• Grow the account: spot adjacent use cases and expand the footprint from a first win into a program

Requirements

• Active TS/SCI clearance with Full Scope Polygraph — current and in scope
• Experience working at or with this customer — you know the environment, the pace, and how work actually gets approved and fielded there
• A real appetite to learn and chase this — commercial AI inside the fence is new ground for everyone; we are looking for someone who wants to be early, not someone waiting for a mature playbook
• Ability to work on site in McLean, VA
• A technical foundation you can stand on — computer science, engineering, data science, statistics, economics, or equivalent hands-on experience. A formal AI/ML background is welcome but not required; the willingness to get deep in it is
• Structured problem solving — able to take an ambiguous mission problem and turn it into a scoped plan
• Strong written and verbal communication; comfortable briefing both engineers and senior government leadership
• Willingness to travel approximately 25% and to be forward-deployed to the customer's site

Stand out with

• Hands-on experience with modern AI/ML already — large language models, agentic workflows, model evaluation, prompt and context engineering, or the operational realities of running models against real data
• Python and/or SQL proficiency — you can pull the data and check the answer yourself
• MLOps and model operations experience: evaluation pipelines, data labeling and quality, human-in-the-loop workflow design, monitoring in production
• Experience at an API or platform technology company — you know how a product team thinks and how to feed it
• Computer vision, ISR/FMV analytics, or multi-INT data experience
• A track record of expanding a client relationship from one use case into a program
• Cloud and data platform experience at classified levels
• A track record of building the second version of something — documentation, playbooks, and templates that outlive the first engagement