--- title: 'Senior GenAI Engineering Lead — Planning & Execution (Python) at Evolver' canonical: 'https://feeny.ai/job/senior-genai-engineering-lead-planning-execution-python-evolver-palo-alto-j1gsx47yahs4' type: 'job' last_seen: '2026-11-04' --- # Senior GenAI Engineering Lead — Planning & Execution (Python) at Evolver - **Company:** Evolver - **Location:** Palo Alto, CA - **Posted:** 2026-11-04 - **Last confirmed live:** 2026-11-04 - **Apply:** https://job-boards.greenhouse.io/evolver/jobs/4478782009 ## Job description ## About Us We are an innovative AI company with a team of 100+ people focused on transforming core enterprise functions in Fortune 500 companies. Our platform combines a rich understanding of a company’s current state with deep domain expertise to execute these functions with accuracy and consistency through code, statistical methods, and guided ML and LLM execution. It handles processes end-to-end, engaging humans when needed to maximize efficiency and quality. Join us at the forefront of AI innovation, where your expertise will directly shape the future of enterprise operations. ## Role Overview We are looking for a hands-on engineering lead to lead a small team of developers and own the roadmap, architecture, and delivery of the planning and execution layer of our AI platform. This layer translates user goals into actionable plans and coordinates agents, tools, data, and human input to carry those plans through to completion. You will define how workflows are planned, executed, monitored, and adapted as new information becomes available. Working closely with product leaders, domain experts, and engineering teams, you will turn business needs into a prioritized platform roadmap and guide your team in delivering it. This role combines team leadership, including setting direction, coordinating work, and coaching developers, with substantial hands-on Python development from early design through production operation. ## Key Responsibilities - Own the roadmap and delivery: Define priorities for the platform’s planning and execution layer, translate them into milestones, and lead delivery aligned with customer needs and business goals. - Evolve the platform architecture: Lead the evolution of the planner and executor architecture, defining component boundaries, interfaces, and state management to support scalability, extensibility, and reliability. - Advance planning and orchestration: Develop capabilities for goal decomposition, agent and tool selection, dependency management, and adaptive replanning based on execution feedback. - Deliver reliable, observable execution: Build resilient workflows with persistent state, failure recovery, and human oversight. Establish evaluations and monitoring to improve quality, latency, and cost. - Lead a small development team: Set technical direction, coordinate work, coach developers, and maintain engineering quality while writing and reviewing production Python code. Collaborate with product, domain, infrastructure, and security teams to deliver enterprise-ready capabilities. Qualifications: Experience: - 8+ years of professional software engineering experience, with advanced proficiency in Python. - Experience owning a technical roadmap and/or leading a small development team to deliver software. - Hands-on experience building production-level AI-powered workflows or agent systems Education: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Technical Skills: - Strong Python engineering skills, including API design, asynchronous programming, testing, and production debugging. - Experience with LLM-based planning, tool calling, structured outputs, context management, and agent orchestration. - Ability to design execution systems that handle partial failures, retries, concurrency, and persistent state. - Experience evaluating AI behavior and using traces, metrics, and logs to improve system performance. - Familiarity with retrieval-augmented generation and integrating structured and unstructured data into agent workflows. - Experience with cloud-native services, databases, queues, and deployment practices. Soft Skills: - Ability to turn ambiguous requirements into a clear roadmap and achievable delivery milestones. - Strong architectural judgment and the ability to communicate technical tradeoffs. - Experience collaborating with product managers, domain experts, and engineering teams. - A practical approach to balancing experimentation with production reliability. - Comfort taking ownership in a fast-moving startup environment. ## Benefits - Competitive Compensation: Tailored to your experience and skill set. - Flexible Work Arrangements: Hybrid working model. - Career Growth: Opportunities to expand your technical and leadership responsibilities. - Meaningful Impact: Direct ownership of core platform capabilities that shape how AI delivers professional services. ## About Evolver ## Company Overview - **One-liner**: Evolver is a cybersecurity and digital transformation leader that provides advanced cyber defense, secure data environments, and intelligent software solutions for federal and commercial enterprises. - **Entity Type**: Private (no disclosed funding) - **Headquarters**: Reston, Virginia, USA - **Founded**: 2000 - **Founders**: Not publicly named ## Core Business - **Primary industries**: Cybersecurity, Digital Transformation, Information Technology Services, eDiscovery & Legal Services - **Target customers**: B2G (federal agencies such as DoD, DHS, USDA, CMS, NIH) and B2B (Fortune 500 commercial enterprises) - **Mission statement** (from their vision): To set the standard for excellence in Cybersecurity and Digital Transformation—empowering the nation’s most critical missions and enterprises to operate with confidence in unprecedented environments. ## Products & Services Evolver delivers integrated solutions across several domains: - **Cybersecurity**: Advanced cyber defense, proactive threat containment, and risk management to safeguard critical systems. - **Digital Transformation**: Modernization of IT infrastructure using AI, automation, cloud, and human-centered innovation. - **Managed Data & Technology**: Managed IT services to keep infrastructure and legal workflows secure and optimized. - **eDiscovery & Legal Services**: Technology-enabled legal support for eDiscovery and document management. - **Federal Solutions**: Tailored offerings for national security, defense, and civilian agencies (e.g., CMS-HIOS, USCIS-SOC, AOC programs). ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Annual revenue is not publicly reported; estimated employee count of “more than 500” nationwide (as per official site) - **Notable Investors/Partners**: Longstanding partnerships with the Department of Defense, Department of Homeland Security, Department of Agriculture, Centers for Medicare and Medicaid Services, National Institutes of Health, and Fortune 500 customers - **Growth Signals**: - 93% employee retention rate - Top 20% of all CPARS ratings on major federal programs - ISO 9001, ISO/IEC 27001, ISO 20000-1 certified; CMMI SVC/DEV ML3 appraised - Operates an Innovation Center and Catalyst Programs ## Competitive Advantages - **25+ years of mission-critical federal experience** with deep domain expertise - **Exceptional retention and employee expertise** (93% retention, top technologists and AI experts) - **Strong certifications and compliance** (ISO, CMMI) enabling access to sensitive government contracts - **Proven CPARS track record** consistently in top 20% across multiple programs ## Strategic Focus - **Current priorities**: Accelerating AI integration, strengthening cybersecurity posture, expanding digital transformation offerings for both federal and commercial clients - **Innovation engine**: Maintains an internal Innovation Center and Catalyst Programs to stay ahead of evolving threats and opportunities ## Why Work Here - **Culture**: Open, collaborative, trust-based environment emphasizing innovation and “bold thinking, relentless execution” - **Diversity & Inclusion**: Formal commitment to creating an inclusive workplace; equal opportunity employer - **Growth & Development**: Tuition reimbursement, continuing education, paid certification support, Communities of Interest/Practice - **Benefits**: Paid time off (vacation, sick, holidays, bereavement, civic duty), medical/dental/vision insurance, 401(k) with pre-tax and Roth options, paid parental leave, military leave, HSA/FSA, pet insurance, employee recognition programs - **Work Environment**: Not explicitly stated as remote or hybrid; typical for a federal contractor (likely hybrid with on-site requirements near Reston, VA, and client sites) - **Community**: Evolver CARES program for volunteerism and charitable giving ## Sources 1. [evolverinc.com](https://evolverinc.com/) – Homepage 2. [evolverinc.com/about](https://evolverinc.com/about/) – About page (history, certifications, vision) 3. [evolverinc.com/careers](https://evolverinc.com/careers/) – Careers page (benefits, culture, values) 4. [linkedin.com/company/evolver](https://www.linkedin.com/company/evolver) – LinkedIn company page (employee count, revenue estimate) ## Other roles at Evolver - [Senior Graph Engineer (Python)](https://feeny.ai/job/senior-graph-engineer-python-evolver-palo-alto-zkm9hgd4mj3m) — Palo Alto, CA - [Senior Full-Stack Engineer — Application Experiences (Vue/React, Python)](https://feeny.ai/job/senior-full-stack-engineer-application-experiences-vue-react-python-evolver-kqa845fpmndp) — Palo Alto, CA - [Senior Full-Stack Engineering Lead — Application Experiences](https://feeny.ai/job/senior-full-stack-engineering-lead-application-experiences-evolver-palo-alto-ckasaxb9rf9k) — Palo Alto, CA - [Technology Procurement & Commercial Operations Lead](https://feeny.ai/job/technology-procurement-commercial-operations-lead-evolver-remote-nhttswcmnyyn) - [Research Scientist - Information Theory and Statistical Inference](https://feeny.ai/job/research-scientist-information-theory-and-statistical-inference-evolver-palo-rsw7wjz2gqmf) — Palo Alto, CA - [Research Scientist - Autonomous Systems](https://feeny.ai/job/research-scientist-autonomous-systems-evolver-palo-alto-8kjpd74n08k6) — Palo Alto, CA - [Enterprise Platform Architect](https://feeny.ai/job/enterprise-platform-architect-evolver-palo-alto-fd6vzecewrbw) — Palo Alto, CA - [Strategic Engagement Lead](https://feeny.ai/job/strategic-engagement-lead-evolver-palo-alto-n6bhz3pn2hk0) — Palo Alto, CA - [Domain Value Architect](https://feeny.ai/job/domain-value-architect-evolver-palo-alto-vvgy4yj5fs7a) — Palo Alto, CA - [Product Solutions Architect](https://feeny.ai/job/product-solutions-architect-evolver-palo-alto-jse14w9j6baa) — Palo Alto, CA