Title: AI Python Developer - Trend to Product Location: Sunnyvale United States Job Description: Job#: 3027947 Job Description: Walmart AI/Python Developer Contract, or Contract to Hire Hybrid Onsite (Sunnyvale, CA) This position requires the successful candidate to be authorized to work in the U.S. without the need for current or future employer sponsorship Role Overview: We are seeking curious, outcome-focused engineers with a product mindset for a high-visibility initiative. This role involves building and deploying production-ready, AI-powered services using Large Language Models (LLMs) and Generative AI. The ideal candidate will focus on delivering tangible results and will have their work evaluated based on solving practical, real-world problems. Key Responsibilities - Build and deploy production-ready AI-powered services using LLMs and Generative AI. - Develop and enhance components for RAG pipelines, agentic workflows, and knowledge-grounded reasoning systems. - Write high-quality, testable, and maintainable Python code with a strong focus on observability, reliability, and performance. - Design and implement scalable, cloud-native services and distributed systems for AI-powered applications. - Own key service-level components across APIs, microservices, data pipelines, and vector-backed retrieval systems. - Partner with product, platform, and data teams to integrate AI capabilities into business applications. - Contribute to technical design discussions and help drive implementation for complex feature areas. - Participate actively in code reviews, design reviews, and operational improvements to raise engineering quality. Required Qualifications Experience: 5+ years of experience in software engineering, with strong experience in backend systems, distributed systems, or cloud platforms. Candidates should have hands-on experience with Generative AI and LLM-based applications in production settings and a track record of delivering production-quality software. Technical Skills: Strong coding skills in Python and experience building production-grade backend systems are required. This includes experience with scalable microservices, APIs, and event-driven systems. Familiarity with vector databases, RAG pipelines, and LLM integration patterns is also necessary. Preferred Qualifications - Experience with cloud platforms such as Azure, GCP, or AWS. - Experience with observability, monitoring, and production operations for AI-powered systems. - Exposure to AI/ML frameworks such as PyTorch, TensorFlow, or Hugging Face. - Familiarity with security, compliance, and responsible AI considerations in enterprise environments. Work Environment This role requires onsite presence 3-4 days per week. Relocation assistance may be considered for candidates moving to the work location. We are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Apex uses a virtual recruiter as part of the application process. Click here for more details. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide. Employee Type: Contract Location: Sunnyvale, CA, US Job Type: Applications and Data Management Date Posted: March 27, 2026 Pay Range: $60 - $80 per hour Similar Jobs - Python Developer - Python Developer - Python Developer - Python Developer - Python Developer

• Build agent runtimes and orchestration systems (planning, tool use, memory, coordination) • Make agents reliable (retries, failure handling, state management) • Make agents observable (tracing, debugging, evaluation) • Make agents cheap (cost-aware execution, performance optimization) • Make agents useful in production (not demos - real systems people depend on) • Integrate LLMs, APIs, and external data into coherent, working systems • Define how developers build, debug, and extend agent behavior

• Build and lead a best-in-class team of Data & AI Technical Architects. • Recruit and mentor senior-level architects. • Establish clear technical standards, architectural principles, and operating rhythms. • Partner with Sales Leadership to define coverage and engagement models. • Serve as a technical executive sponsor for strategic customers. • Champion customer outcomes across the full lifecycle. • Design and scale repeatable technical evaluation motions, including architectural workshops, POVs, POCs, and reference designs. • Drive alignment with Product and Engineering to stay ahead of the Data & AI roadmap. • Work closely with the Partner Ecosystem to develop offerings, use cases, and GTM strategies. • Develop scalable, reusable technical assets, patterns, and enablement. • Own Salesforce's point of view on enterprise data and AI architecture.

Job Title: Senior AI Engineer About SailPoint: SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce and ensuring that workers have the right access to do their job—no more and no less. Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and changing needs of today’s cloud-oriented, modern enterprise. About the role: As an AI Engineer, you will collaborate closely with cross-functional teams to design, develop, and deploy cutting-edge AI solutions with a focus on Generative AI and autonomous systems. This role requires a strong foundation in ML engineering, along with experience building applications with FMs and related concepts such as RAG, fine-tuning, agents, and distillation. About the team: The AI team at SailPoint applies AI and domain expertise to create AI solutions that solve real problems in identity governance. We believe the path to success is through meaningful customer outcomes, and we leverage traditional AI/ML as well as recent innovations in Generative AI and Graph ML to bring our solutions to SailPoint’s core product lines. Roadmap to success: 90 Days ● Deeply understand the SailPoint AI vision and Generative AI initiatives. ● Onboard onto our AI Platform tech stack. ● Develop or evaluate a working prototype of an AI agent using existing models/tools. 6 months: ● Deliver or contribute to a fully functional GenAI-powered feature. ● Optimize existing AI pipelines to ensure robust training, evaluation, and deployment. ● Collaborate with the AI and product teams to identify key use cases for GenAI. 1 year: ● Lead the development of a new FM-based capability from ideation to deployment. ● Drive AI innovation by rapidly incorporating advancements in FM fine-tuning, prompt engineering, agent-based systems, etc. into our product and platform. ● Establish repeatable frameworks for evaluating GenAI and agent-based features in production, emphasizing business impact and risk mitigation. ● Collaborate with partners to deliver thoughtful integrations between traditional ML and agent-based systems that provide a seamless and autonomous user experience. Requirements: ● 5+ years experience building and deploying ML models in production at scale. ● Recent experience with Generative AI models and techniques, such as LLMs, fine-tuning, RAG, prompt engineering, guardrails, distillation, and agent frameworks. ● Can-do attitude with a focus on delivering measurable business impact. ● Strong technical communicator who can convey complex topics to different audiences. ● B.S. in Computer Science, or a related field. Tech Stack: ● Core Programming: Python, Go ● Cloud Platform: AWS (SageMaker, Bedrock) preferred ● GenAI Frameworks/Tools: Any ● Data: Snowflake, Kafka, Airflow Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint. As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD): $119,400 - $201,190.00Base salaries for employees based in other locations are competitive for the employee’s home location. Benefits Overview 1. Health and wellness coverage: Medical, dental, and vision insurance 2. Disability coverage: Short-term and long-term disability 3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D) 4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children 5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account 6. Financial security: 401(k) Savings and Investment Plan with company matching 7. Time off benefits: Flexible vacation policy 8. Holidays: 8 paid holidays annually 9. Sick leave 10. Parental support: Paid parental leave 11. Employee Assistance Program (EAP) and Care Counselors 12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options 13. Health Savings Account (HSA) with employer contribution SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact applicationassistance@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.