Senior AI Tech Lead- Remote

ProfitSolv is a SaaS business services provider for the legal and accounting industry. We are looking for an Senior AI Tech Lead to join our growing team!  

The primary purpose of the Senior AI Tech Lead is to architect and lead AI systems that legal professionals can trust. I combine deep hands-on engineering with technical leadership to build platforms that are scalable, compliant, and grounded in data quality — raising the bar across every layer of the stack. 

What we provide:  

• Opportunity to Invest in Your Future. We offer a 401K match.  
• Paid Time Off. Enjoy paid time off and paid holidays.  
• Great Coverage. Take advantage of health, dental, and vision HSA and FSA policies.  
• A Great Team. Collaborate with smart, curious, hardworking individuals.  
• Performance Compensation. Be rewarded for your hard work with performance-based merits.  
• Remote Work. Want to work from home? No problem! 

 
As a Senior AI Tech Lead, you will: 

• Own the end-to-end technical architecture of the ProfitSolv AI Platform: agents, retrieval, knowledge graph, lakehouse, governance, and the Learning Flywheel.  
• Be the senior technical voice in deep architectural discussions, direct the technical flow of design reviews, lead difficult tradeoff conversations, and raise the technical bar across the AI team.  
• Stay hands-on with code (~50% of your time) on the highest-leverage work: foundational frameworks, prototypes, evaluation harnesses, and the systems that everything else depends on.  
• Spend the rest of your time (~50%) on architecture and technical leadership: RFCs, design reviews, cross-team alignment, technical roadmap, and vendor evaluation.  
• Own the agentic platform architecture: AgentCore plus Strands plus Bedrock integration, multi-agent orchestration, tool and MCP design, and the guardrail and policy framework.  
• Drive evaluation discipline across the platform: data quality contracts, retrieval evaluation, agent evaluation. Treat harness engineering as a first-class practice.  
• Lead the trust architecture for AI in legal services: tenant isolation, ABA Model Rules and Formal Opinion compliance, observability and audit, explainability with citations, hallucination guardrails.  
• Mentor senior IC engineers across data, retrieval, graph, and agent specializations through code review, design review, and direct technical collaboration.  
• Partner with the Director of Enterprise AI on team strategy, roadmap, and headcount; partner with product, security, and legal counsel on cross-functional requirements.  
• Evaluate vendors, frameworks, and managed services (Anthropic, AWS, OpenAI, and others) and make architectural recommendations grounded in cost, scale, and regulated-industry constraints.  
• Other duties as assigned. 

This position follows established policies and procedures to keep confidential information secure. 

A great fit for this position has: 

• 10+ years of software engineering experience; 5+ years in technical leadership or architect roles.  
• Production experience leading and shipping agentic AI products end-to-end:  architecture, build, ship, operate.  
• Deep expertise across the AI Platform stack: agents (AgentCore, Strands, Bedrock), RAG, knowledge graphs, lakehouse, governance.  
• Strong harness engineering experience, has built reusable evaluation, testing, and observability infrastructure for AI systems.  
• Demonstrated ability to operate at both the architectural level and the code level on complex AI systems.  
• Strong AWS experience across the AI-native stack: Bedrock, AgentCore, Neptune, Athena, Redshift, Lake Formation, DMS, Aurora.  
• Experience leading the technical direction of an AI team through influence (architecture, code, and design rigor) without relying on direct people-management authority.  
• Strong, articulate understanding of the differences between leading software teams and leading AI teams: eval-driven over test-driven, probabilistic systems, model selection economics, faster iteration cycles, and the tight coupling between data quality and model quality.  
• Production experience in multi-tenant SaaS at scale.  
• Excellent written communication, able to author architectural RFCs, decision records, and technical strategy documents that align cross-functional stakeholders.  
• Strong stakeholder skills, comfortable in deep technical discussions and in conversations with senior leadership, including PE/board audiences.  

Additional Desirable Qualifications   

• Legal tech background or experience in another regulated industry such as healthcare or financial services.  
• Familiarity with ABA Model Rules of Professional Conduct and ABA Formal Opinion 512, or equivalent AI-in-legal regulatory frameworks.  
• Experience working with PE-backed companies through scaling phases.  
• Experience evaluating and operationalizing AWS AgentCore and Anthropic Claude Managed Agents in production.  
• Direct experience building or operating multi-tenant agent platforms with microVM-level tenant isolation.  
• Experience implementing the trust architecture pillars: ethical AI, tenant isolation, observability and audit, explainability with citations, hallucination guardrails.  
• Public technical voice: speaker, writer, or open-source contributor on AI engineering topics.  
• Ability to sit for prolonged periods at a desk and work on a computer.  
• Must be able to lift up to 15 pounds at times.  
• Ability to handle stress  
• Ability to meet work deadlines  

Our commitment to you: At ProfitSolv, we are committed to being a diverse and inclusive workplace as an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. We embrace a diverse group of backgrounds and experiences to connect with clients, solve problems, and innovate.