***CAN BE HYBRID IN NYC, CHICAGO, SF, ATLANTA, OR SEATTLE***
Our client's team makes AI work at scale by combining data science and engineering with business consulting. We build context-driven analytics and GenAI/agentic systems that reflect how decisions and work actually happen—grounded in semantic layers, strong data foundations, and governance embedded in decision flows. With a builder-advisor (“forward deployed”) mindset, they deliver production-ready impact across operations and customer domains, redefining what enterprise AI advisory looks like in practice.
Your Role
As an Forward Deployed Engineer Senior Consultant, you will own embedded technical workstreams and operate independently within complex client environments. You will deliver production-grade solutions, act as a trusted technical counterpart to client teams, and ensure what is built is usable, documented, and adopted.
You will:
· Own embedded technical workstreams from requirements through deployed output
· Build and maintain AI workflows, pipelines, and platform configurations used by client teams
· Partner closely with client engineers, data leads, and technical project managers
· Drive platform adoption through pairing, enablement, and documentation
· Mentor Consultant-level team members on delivery quality and client engagement
Your Skills + Experience
You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able
to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI-augmented ways of working to enhance research, analysis, and solution development. You collaborate effectively across strategy, technology, data, and design to enable AI-driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance. You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.
Required Skills:
· 5–6 years in forward-deployed, embedded, or client-facing engineering roles
· Production-level Python and SQL experience building and maintaining data pipelines
· Hands-on experience configuring Palantir Foundry (ontologies, pipelines, applications) or equivalent enterprise platforms
· Ability to work independently in ambiguous client environments and self-manage delivery
· Track record of delivering working software that client teams adopt and use