Government can and should work well for everyone. We're people-centered problem solvers showing that it's possible.
Emerging Technology & AI Governance Lead
Location
United States
Posted
43 days ago
Salary
$128.9K - $157.9K / year
Seniority
Senior
Job Description
Emerging Technology & AI Governance Lead
Code for America
• Own the full lifecycle of Code for America's AI Acceptable Use Policy: drafting foundational policy from the ground up, socializing it across the organization, driving adoption, and revising it on an ongoing basis as tools, risks, and best practices evolve • Advise on the employee-facing implications of AI tool deployment, including acceptable use boundaries, monitoring practices, and policy provisions that intersect with employment law and workforce relations — working in close coordination with People Operations and Legal. • Write governance frameworks and policy documents in accessible, plain-language formats — ensuring that staff at all levels and across all disciplines can understand and act on guidance, not just compliance and IT teams • Serve as an internal consultant to teams in the early stages of exploring, piloting, or refining AI-assisted workflows — guiding experimentation with a "yes, and here's how to do it safely" orientation • Document and share learnings from team-level pilots to build organizational knowledge and surface replicable patterns • Act as a liaison between IT/security and non-technical program and operations teams, translating between contexts and representing staff needs when governance or tooling decisions are being made • Partner with People Operations and Legal on the development and ongoing review of AI-related employment policies, including policies that govern employee conduct, monitoring, and use of AI tools in the workplace — ensuring governance frameworks are informed by and aligned to employee relations considerations. • Lead change management for AI-related transitions — helping staff understand not just what is changing, but why, and what it means for their work • Partner closely with Security Engineering to ensure AI governance and enablement work is integrated with the organization's broader security posture • Collaborate with compliance stakeholders and legal/People Operations as needed to assess AI tool risk, data privacy implications, and organizational policy alignment— including implications for employee relations and workforce obligations. • Monitor the evolving AI governance and security landscape and proactively recommend policy and control updates as new tools, risks, or regulations emerge • Maintain the vendor inventory, conduct lightweight third-party security reviews on new tools, and escalate higher-risk reviews to the Security Engineering team • Coordinate security awareness programming, including staff training and onboarding modules • Design, launch, and continuously improve a suite of AI enablement resources: training sessions, onboarding guides, office hours, self-serve resource hubs, and practical playbooks • Facilitate workshops and learning sessions for staff across all levels and disciplines, explaining technical concepts in accessible, jargon-free ways • Build and steward an internal AI Champions network — recruiting, supporting, and coordinating peer advocates across departments to drive adoption and share learnings • Develop onboarding materials for new staff and role-specific enablement resources for teams with specialized AI use cases • Other duties as assigned
Job Requirements
- 5–8+ years of experience in a role spanning IT, compliance, security, learning & development, or organizational change — ideally with exposure to more than one of these areas
- Demonstrated experience drafting, publishing, and managing the lifecycle of acceptable use, technology, or information security policies — including socializing policy with non-technical audiences and driving organization-wide adoption
- Demonstrated experience with AI tools (e.g., large language models, AI-assisted productivity tools) and a strong understanding of emerging best practices in AI governance, data privacy, and acceptable use
- Familiarity with the intersection of technology policy and employment practices, including acceptable use, and workforce implications of AI tool deployment.
- Experience with security audits and compliance evidence gathering
- Strong written and verbal communication skills with demonstrated experience developing and communicating technology governance frameworks to non-technical audiences
- Experience designing and facilitating training, workshops, or enablement programs at an organizational scale
- Ability to assess and screen vendors/contractors for security and compliance risk
- Proven ability to work cross-functionally, build relationships across disciplines, and move work forward without formal authority
- Experience with change management principles and practice — including stakeholder communication, adoption strategies, and managing transitions
- Comfort operating in ambiguity — experience with and comfort in building something from the ground up
- Tenacity and adaptability; able to navigate relationships and technical challenges and unblock themselves and their team
- A deep commitment to Code for America's mission of making government services work well for the people who need them most
Benefits
- Leadership and teammates who share a strong work ethic and values, and who respect and care for one another
- A collaborative, cross-functional, hardworking, and joyful environment
- Laptop provided
- A one-time $700 payment for remote environment setup; $200 stipend (in first paycheck) and up to $500 reimbursement, in accordance with our equipment policy
- Cell phone and/or internet reimbursement of $50 per month
- $500 annual (per calendar year) stipend towards professional development; prorated at time of hire
- Up to $500 of professional development funds can be rolled over each year, up to a maximum of $1000
- Training / guidance for staff required to utilize AI as part of their role, plus opportunities for employees to gain AI-related skills to support job and career growth
- Employees receive a 100% employer match on the first 3% of contributions.
- Employees with 3+ years of service receive an additional 50% match on contributions between 3% and 5%, for a maximum employer contribution of 5%
- At least one no cost health insurance option for full-time employees for employee-only coverage
- A minimum of 80% of the cost of dependent coverage
- Code for America employees may work remotely across the US
- Code for America employees main residence must be within the US
- Full-time employees work 40 hours per week, Monday - Friday
- Collaborative working hours: we aim to hold all internal meetings between 10 AM - 3 PM PT. We expect all Code for America staff to be available during these set working hours
- Open personal time off (subject to manager approval), a minimum of 14 paid holidays, and an org-wide closure from Christmas Day through New Year's Day
- Paid sick time; up to 96 hours annually
- 17 weeks of paid parental and family leave
- 3 weeks of paid sabbatical after 5 years of service
Related Guides
Related Job Pages
More AI Engineer Jobs
Role Description This role is responsible for designing, developing, implementing, troubleshooting, and optimizing scalable, high-performance software and product applications. Leveraging industry best practices, the Sr. Software & Product Engineer delivers robust, customer-focused solutions that accelerate product innovation. - Assesses and defines software and product requirements, establishing the specifications and standards that guide scalable, high-quality development. - Executes coding, debugging, testing, and troubleshooting across the full development lifecycle, incorporating AI-assisted and agentic development approaches to maintain quality and delivery efficiency. - Develops and advances software and product capabilities that integrate with design systems, infrastructure, databases, and cloud-based platforms, all with the goal of maximizing operational efficiency. - Evaluates application requirements and architects database solutions that ensure scalability, performance, and data integrity. - Serves as a subject matter expert in AI-assisted development practices; acts as a resource for the engineering team on the effective and disciplined application of AI coding tools, informs development standards around AI use, and reinforces quality expectations through code reviews. Qualifications - Bachelor's degree (or international equivalent) or equivalent experience, required. - 5+ years of related experience, required. - 2+ years of Agentic Engineering required. - Experience with Claude Code, Curser or comparable LLM. - 5+ Python required. - Experience with Git/GitHub, JIRA, Confluence, CircleCI, required. - Experience developing in Agile, SCRUM, or similar iterative methodologies, required. - Experience in fast-growing companies or entrepreneurial environments, required. - 9+ years of related experience, preferred. - Demonstrated knowledge of component-based frontend architecture and modern frontend development principles, enabling scalable, modular front-end development. - Skilled in frontend build tools and development pipeline practices. - Advanced knowledge of software testing methodologies enabling robust, reliable test coverage. - Expert-level knowledge of AI-assisted development tools and agentic coding workflows, with the ability to apply engineering judgment to evaluate, refine, and integrate AI-generated code into production software delivery. - Technical proficiency to translate detailed business requirements into actionable technical specifications and determine the most effective implementation approach using a wide range of tools and technologies. - Industry knowledge of current software engineering practices and emerging development methodologies. - Ability to serve as a technical resource for the engineering team on AI-assisted development practices, guide peer adoption of effective AI tool use, and reinforce quality standards for AI-generated code. - Ability to influence and contribute to architectural design. - Ability to travel less than 5% of the time. - Must be 18 years of age or older. - Must successfully complete pre-employment screening process, as required. - Must successfully complete any required training or orientation courses, as needed. Benefits - Work from anywhere – Thryv is a Remote First company! - Competitive medical, dental, and vision plans, plus a wellness program with added incentives. - 401(k) savings plan with company match and employee stock purchase plan. - Continuing education benefits with tuition assistance programs. - One week of paid time off at the end of the year, in addition to our standard paid time off policy.
Analytics & AI Architect
InfomineoLeading the business of "Brainshoring" by outsourcing activities like Research, Analytics, Design, and Language Services
• Lead the technical architecture of Data, Analytics and AI solutions for our clients, covering the full lifecycle from design to deployment: • Design end-to-end data architectures: data lakes, lakehouses, warehouses, and streaming pipelines. • Define standards for data modeling, storage, ingestion, and transformation across client engagements. • Architect MLOps and AI deployment infrastructure (model registries, CI/CD for ML, monitoring). • Lead technical decisions on cloud platforms (Azure, AWS, GCP) and open-source tooling. • Define best practices and reusable frameworks for data engineers, analysts, and data scientists. • Act as a technical mentor and reviewer for cross-functional project teams. • Bridge the gap between data analysts, data engineers, and AI/ML engineers on complex projects. • Contribute to internal knowledge base, toolkits, and delivery accelerators. • Lead architecture workshops and discovery sessions with client stakeholders. • Translate business requirements into scalable, robust technical blueprints. • Present architecture decisions to both technical teams and executive audiences. • Support pre-sales and proposal efforts with technical scoping and solution design. • Provide internal training and knowledge-sharing sessions with the team. • Support the Head of Practice on business development and internal capability initiatives.
Mid/Senior AI Engineer, Networking
CodiLimeA strategic partner for technology-driven companies | Network engineering | Software engineering
• Developing MCP-like tools that expose network device APIs and CLI commands with clear descriptions, structured inputs/outputs, validation logic, and error handling • Managing tool metadata and supporting semantic search over available tools using a vector database • Creating golden user queries, expected answers, and query variations for specific tools, intents, and network-operation scenarios • Building automated tests to verify correct tool selection, tool parameterization, output structure, and end-to-end agent responses • Designing evaluation workflows combining deterministic checks, human review, and LLM-as-a-judge techniques • Refining prompts, tool descriptions, schemas, and agent workflows while monitoring regressions when new tools or changes are introduced • Developing production-quality Python code and tests
• Design and build cutting-edge AI applications – from MCP servers and voice-to-voice real-time apps to RAG bots and multi-agent systems. • Advise clients on AI strategy – join workshops, contribute to proposals, and help clients understand what's possible and what's right for them. • Build demos and PoCs – fast, purposeful, and client-ready without over-engineering. • Mentor junior engineers – share knowledge, review code thoughtfully, and help grow the team around you. • Shape our AI practice – contribute to shared tools, frameworks, and ways of working.
