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Sr. AI Platform Engineer

Job

Empower Professionals

Frisco, TX (In Person)

Full-Time

Posted 1 week ago (Updated 4 days ago) • Actively hiring

Expires 6/30/2026

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Job Description

Role:
Sr.
AI Platform Engineer Location:
Bellevue, WA / Frisco, TX / Kansas City, KS /
Atlanta, GA Duration:
12+
Months Responsibilities:
Build serving stores, sync pipelines, and API layers for pilot use cases.
Configure each pilot end-to-end:
source table binding, key schema, sync schedule, and consumer integration. Set up CI/CD pipelines with automated tests covering sync correctness, API contract validation, and latency benchmarks. Operate to defined SLAs for latency, freshness, and availability. Partner with domain teams (Consumer & Marketing, Commercial & Revenue, Growth, Pricing & Analytics) to onboard their use cases onto the patterns we build. Contribute to reference implementations, blueprints, and documentation that future teams will reuse.
Requirements:
API development: production Python with FastAPI or comparable; versioned REST APIs, contracts, governance.
Batch and real-time data pipelines:
Kafka or comparable streaming, plus CDC or incremental batch; built and operated end-to-end.
Caching and key-value serving:
production Redis or Valkey; cache invalidation, TTL strategies, hot-path serving.
Vector databases and knowledge graphs:
Pinecone, Weaviate, pgvector, Neo4j, or comparable; embeddings and retrieval patterns.
AI software engineering:
hands-on building data infrastructure for AI and ML use cases (RAG, agent tooling, feature serving).
Azure Databricks, Delta Lake, Unity Catalog:
hands-on production experience.
Delta Lake internals:
transaction log, time travel, and Change Data Feed (CDF).
SQL and data modeling:
comfortable with point-lookup vs analytical query patterns.
CI/CD:
GitLab or GitHub Actions; automated tests for data pipelines.
Communication:
works directly with senior architects, product managers, and domain stakeholders.
Nice to have:
Embedded analytical engines: DuckDB or comparable. Microsoft Fabric / OneLake /
Power BI Semantic Models:
production experience.
SLAs and SLOs:
defining and operating for data products or APIs.
MCP-style tooling:
data access for AI agents.
Enterprise-scale data serving:
prior work on serving infrastructure at large enterprise Best Regards Gunika Sharma Technical Recruiter Empower Professionals Inc ...................................................................................................................................... |
Direct:
x 355 100 Franklin Square Drive Suite 104 | Somerset, NJ 08873 Certified NJ and NY Minority Business Enterprise (NMSDC)