Staff AI Engineer

Genesis10 • Cedar Park, TX

18h

About The Position

Genesis10 is seeking a Staff AI Engineer for a permanent, direct-hire position with a leading retail company in Cedar Park, Texas. The role is a senior technical expert responsible for designing, building, and governing practical, secure, and scalable AI capabilities across predictive analytics, AI assistants, autonomous agents, and enterprise context integration. The engineer partners with business, security, architecture, data, and engineering teams to establish reusable patterns, standards, and safeguards that support better decision-making, operational efficiency, and Associate and customer experiences.

The role owns the technical roadmap for AI capabilities, prioritizes use cases with business partners, and sequences delivery according to value, complexity, risk, and readiness. It designs AI solutions and governed approaches for connecting them to enterprise data, systems, tools, and workflows; defines standards for evaluation, monitoring, access control, cost management, security, and responsible AI; and mentors engineers while raising the organization’s AI engineering capability.

The position works with business teams across retail, digital commerce, supply chain, manufacturing, merchandising, and support functions. Compensation is $150,000–$215,000 per year. Genesis10 notes that benefits for this permanent-placement opportunity are specific to the client and can be discussed with a recruiter.

Requirements

• Bachelor's degree in Computer Science, Data Science, Information Technology, Engineering, or a related field; or an equivalent combination of education and/or experience.
• At least 5 years of experience in software engineering, machine learning engineering, data engineering, AI systems development, or a related technical discipline, including experience delivering production AI solutions.
• Proven experience designing, building, and operating production AI applications, such as predictive models, generative AI solutions, AI assistants, agent-based systems, or intelligent automation capabilities.
• Strong Python and SQL skills and a solid foundation in data engineering, data transformation, and AI/ML data preparation.
• Hands-on experience building, deploying, and supporting AI or machine learning solutions in a cloud environment.
• Experience integrating AI solutions with enterprise applications, business processes, data platforms, and operational workflows, including access scoping and authentication.
• Experience designing and deploying retrieval-augmented generation (RAG), semantic search, or similar knowledge retrieval solutions in production environments.
• Experience implementing AI governance, security, observability, evaluation, and monitoring practices in production environments.
• Ability to lead technical direction across multiple initiatives, establish engineering standards, and communicate complex technical concepts to technical and business stakeholders.
• Ability to identify, prioritize, and deliver AI solutions that create measurable business value through improved decision-making, productivity, customer experience, or operational effectiveness.

Nice To Haves

• Professional certifications in cloud, AI, data, or machine learning disciplines, such as AWS Certified Machine Learning Specialty or similar credentials.
• Experience designing MCP servers, agent integration frameworks, tool-calling architectures, API gateways, or similar approaches for connecting AI systems to enterprise applications.
• Experience with vector databases and semantic retrieval platforms such as Pinecone, pgvector, Weaviate, OpenSearch, or comparable technologies.
• Hands-on experience with AI observability and evaluation platforms such as LangSmith, Arize, Langfuse, MLflow, or similar tools.
• Hands-on experience with AWS building, deploying, and supporting AI or machine learning solutions.
• Experience with enterprise analytics platforms such as Incorta and exposing enterprise data for AI, machine learning, or advanced analytics use cases.
• Experience supporting retail, manufacturing, supply chain, merchandising, e-commerce, customer service, or other consumer-focused business functions.

Responsibilities

• Own the technical roadmap for AI capabilities, prioritize use cases with business partners, and sequence delivery based on value, complexity, risk, and readiness.
• Design secure, scalable AI solutions, including assistants, agents, predictive models, retrieval-based systems, and enterprise integrations.
• Partner with business teams across retail, digital commerce, supply chain, manufacturing, merchandising, and support functions to translate opportunities into practical AI solutions.
• Establish governed patterns for giving AI solutions access to enterprise data, systems, tools, and workflows.
• Define standards for evaluation, monitoring, access control, cost management, security, and responsible AI practices.
• Mentor engineers, document reusable patterns, establish standards, and raise the organization's AI engineering capability.

Benefits

• Genesis10 lists Behavioral Health Platform, Medical, Dental, Vision, Health Savings Account, voluntary hospital indemnity (critical illness and accident), voluntary term life insurance, 401(k), sick pay for applicable states and municipalities, and commuter benefits for Dallas, NYC, SF, and Illinois for contract roles. For this permanent-placement opportunity, benefits are specific to the client and can be discussed with a recruiter.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior