Forward Deployed Palantir Solutions Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: United States of America; candidates must reside in the United States. San Antonio, TX candidates work hybrid with two office days; candidates outside the San Antonio area may work 100% from home. Travel up to 50% may be required for on-site customer engagements.
Salary: $192,610.00–$338,993.60 per year, depending on geographic market.
Company
Technology operates enterprise AI infrastructure, data platforms, software integration, cloud services, and cyber resilience for regulated and mission-critical environments.
What you will do
- Own AI and data strategy, technical account plans, use-case roadmaps, target architectures, and adoption paths for strategic enterprise accounts.
- Advise operational and financial executives, lead discovery through interviews, event storming, journey mapping, and requirements elicitation, and prioritize product backlogs.
- Plan and lead one-week scope-and-build bootcamps, directing FDEs and delivery engineers toward business-value outcomes.
- Build Foundry and AIP prototypes using Pipeline Builder, Ontology, Workshop, AIP Logic, OSDK, and LLM-based tools when appropriate.
- Design ontology, integration, governance, security, privacy, and compliance patterns connecting Foundry with enterprise systems and modern data platforms.
- Convert bootcamp outcomes into priced statements of work, architectures, 90-day plans, executive briefings, reusable accelerators, and delivery backlogs; mentor sales and delivery engineers.
Requirements
- High School Diploma or regional equivalent and a Bachelor's Degree required; relevant additional experience may substitute for the degree at the manager’s discretion.
- 12+ years of experience in data engineering, data architecture, or enterprise AI delivery, including 6+ years in a customer-facing or field role.
- Hands-on Palantir Foundry and AIP experience, including Pipeline Builder, Ontology, Workshop, AIP Logic, or OSDK, with the ability to independently build a working prototype.
- Experience running time-boxed customer build engagements such as bootcamps, hackathons, or one-week proofs of concept that led to signed or expanded deals.
- Product discovery and ownership experience, including non-leading interviews, event storming or domain-driven design, journey mapping, requirements elicitation, and backlog ownership.
- Deep familiarity with an enterprise system of record such as SAP, Oracle, Epic, or equivalent, plus Snowflake or Databricks, a major cloud platform, CDC, and master-data concepts.
- Strong Python and SQL skills; working knowledge of PySpark and TypeScript.
- Deep expertise in Healthcare, BFSI, Manufacturing, or Logistics/Supply Chain, including systems of record, data standards, and regulatory constraints.
- Trusted-advisor relationships with operational and financial executives and technology leadership, with strong presentation and facilitation skills.
- Ability to turn ambiguous customer needs into scoped plans under tight timelines and working knowledge of data security, privacy, and compliance requirements in regulated industries.
Nice to have
- Palantir certifications and cloud, data engineering, or MDM credentials.
- Experience at Palantir, a Palantir partner, an AI startup, or a forward-deployed engineering team.
- Agentic and RAG architectures beyond AIP and AI evaluation frameworks.
- Full-stack and DevOps experience with Node.js or Go, React or Vue, Docker, Kubernetes, CI/CD, or Terraform.
- Enterprise MDM, event streaming, data observability, knowledge graphs, semantic modeling, RDF, OWL, or Neo4j.
- Industry data standards, Human-Centered Design, Jobs to Be Done, or a degree in Computer Science, Engineering, or a related field.
Culture & Benefits
- Full-time employment with remote work from home outside the San Antonio area; San Antonio-based employees follow a hybrid schedule with two office days.
- Up to 50% travel may be required for customer engagements.
- Compensation may include annual bonuses or incentives, equity awards, and an Employee Stock Purchase Plan.
- emphasizes inclusion, diverse perspectives, equal employment opportunity, and workplace accommodations.
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