Job Title: Subject Matter Expert (SME) / Technical Expert
Background: ExGoogle / Microsoft / Palantir (or equivalent tier-1 tech experience)
Location:Richardson TX
About the Opportunity
Join a cutting-edge AI organization at the forefront of frontier research and enterprise-scale intelligence systems. This team is redefining how advanced AI models for reasoning coding multimodality and STEM are built deployed and scaled into real-world revenue-driving solutions.
Backed by recent $100M funding the company operates at Silicon Valley speed and ambitionpartnering with global enterprises to turn AI proofs-of-concept into production-grade mission-critical systems. You will work alongside world-class engineers researchers and AI practitioners tackling some of the most complex challenges in modern AI infrastructure.
Role Overview
We are seeking a Subject Matter Expert / Technical Expert with 12 years of experience building and scaling data-intensive and AI-driven platforms. This role is ideal for a senior technologist who combines deep hands-on expertise with architectural vision and thought leadership particularly in agentic AI systems and enterprise AI platforms.
You will play a pivotal role in shaping next-generation AI architectures mentoring teams and driving the adoption of autonomous reasoning-capable AI systems across high-impact use cases.
Key Responsibilities
- Architect and lead the design of scalable secure and high-performance data and AI platforms across distributed environments
- Design build and deploy agentic AI systems capable of autonomous reasoning decision-making and adaptive task execution
- Define and influence AI and data architecture strategy aligning technical solutions with business and product objectives
- Collaborate closely with data scientists ML engineers platform teams and product stakeholders to deliver end-to-end intelligent systems
- Evaluate and integrate cutting-edge AI and cloud technologies (e.g. GCP Vertex AI LangChain-based frameworks)
- Establish best practices for model governance data quality scalability reliability and ethical AI deployment
- Mentor senior engineers and technical teams in emerging AI technologies and system design patterns
Required Skills & Qualifications
- 12 years of experience in software engineering data engineering AI/ML systems or platform architecture
- Proven experience at Palantir Google Microsoft or equivalent high-scale technology organizations
- Strong programming expertise in Python Java or Scala
- Deep experience with data engineering distributed systems and cloud platforms (GCP AWS or Azure)
- Strong understanding of Large Language Models (LLMs) RAG architectures and agentic/autonomous AI systems
- Demonstrated ability to build and scale AI-driven decision systems or intelligent agents in production environments
- Excellent system design problem-solving and cross-functional communication skills
Preferred Qualifications
- Masters or Ph.D. in Computer Science AI Data Science or related field
- Experience leading or influencing enterprise AI platforms or AI strategy initiatives
- Hands-on exposure to LangChain CrewAI AutoGPT or similar agent orchestration frameworks
- Experience in mission-critical domains such as defense finance healthcare or large-scale enterprise systems
Why This Role
- Work on frontier AI challenges with real-world impactnot research in isolation
- Influence how agentic AI and autonomous systems are designed and deployed at scale
- Collaborate with Silicon Valley-caliber talent across engineering research and product
- Opportunity to shape the future of enterprise AI infrastructure in a fast-growing well-funded environment
- Competitive compensation aligned with senior-level expertise and market demand
For more details reach at
About Navitas Partners LLC: It is a certified WBENC and one of the fastest-growing Technical / IT staffing firms in the US providing services to numerous clients. We offer the most competitive pay for every position. We understand this is a partnership. You will not be blindsided and your salary will be discussed upfront.