• Evaluate vendor-provided AI capabilities (specifically Veeva AI) • Assess AI behavior for quality, consistency, failure modes, latency, and operational constraints • Distinguish when a SaaS AI capability should be adopted as-is, adapted, or rejected • Document AI evaluations in clear, audit-ready formats • Collaborate with AI governance functions • Integrate SaaS AI capabilities into enterprise platforms • Design and implement integration shims

About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! Your Impact: The AI Engineering Manager for Medhub will be responsible for driving the day-to-day execution of projects and delivery across our engineering organization which will make a significant impact. You will lead teams to consistently ship high-quality solutions on time, while upholding technical excellence and operational rigor. By translating strategic objectives into clear, actionable plans, you will ensure strong execution and outcomes, creating space for leadership to focus on broader organizational goals. This role blends technical leadership, program execution, and people management. Responsibilities: Technical Leadership & Engineering Management - Lead, coach, and grow a team of engineers through mentorship, feedback, and career development. - Provide technical guidance and ensure architectural and code quality standards are met. - Support design and code reviews, ensuring engineering best practices are followed. - Partner with product management and design to refine requirements and translate them into actionable engineering plans. - Drive operational excellence: monitoring system health, ensuring reliability, and managing technical debt. Delivery & Execution Leadership - Own the end-to-end execution of engineering projects, from planning to delivery. - Establish and enforce repeatable processes for sprint planning, tracking, and reporting. - Anticipate risks and proactively resolve blockers to keep projects on track. - Partner with cross-functional stakeholders to manage dependencies and ensure alignment. - Track and report on delivery metrics (velocity, quality, timelines). - Manage escalations and ensure issues are addressed with urgency and ownership. - Lead the creation, iteration, and communication of team OKRs to ensure focus on outcomes, not just outputs. People & Stakeholder Leadership - Inspire a high-performing team culture focused on accountability, collaboration, and continuous improvement. - Communicate effectively across leadership, peers, and teams — translating strategy into execution. - Build strong relationships with stakeholders (Product, Design, QA, Client Success, etc.) to ensure smooth delivery. - Balance team workload, priorities, and individual growth to avoid burnout while driving results. Key Skills & Qualifications: - 7+ years of engineering experience with at least 3+ years in engineering management or technical program management roles. - Proven ability to lead engineering teams through complex projects with multiple dependencies. - Strong project and program management skills; comfortable with Agile/Scrum/Kanban frameworks. - Excellent problem-solving and decision-making abilities in ambiguous situations. - Strong technical foundation (experience in Python, Data pipelines, cloud platforms). - Exceptional communication and stakeholder management skills. - Passion for building great teams and delivering impactful software. What Success Looks Like: - Engineering teams are delivering consistently, with predictable timelines and high-quality output. - Dependencies and risks are surfaced early and resolved quickly. - Teams feel supported, engaged, and clear on priorities. - The leadership team has the space to focus on strategy while trusting execution is in strong hands. Work-life, Culture & Perks: - Compensation: The base salary range is $225-270K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. - Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. - Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. - Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. - Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. - Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

If you're interested in 2AI's work but none of our open roles feel like a strong fit, we encourage you to submit your information to our General Talent Pool.  We'll periodically review applications and reach out if we identify a role that may be a good match. Note that unlike our role-specific hiring rounds, we don't have a set review timeline or process, and we won't be able to provide status updates on General Talent Pool applications About The AI Access Initiative About The AI Access Initiative, incubated at Evidence Action  We're at an inflection point in artificial intelligence – presenting both tremendous potential opportunity and risk for people in developing countries: rather than allowing the poverty gap to expand, low-income countries have an opportunity to leapfrog development milestones with AI-powered innovations. Incubated at Evidence Action, we’re launching The AI Access Initiative, an organization focused on scaling AI-enabled ‘big bets’ to benefit tens or hundreds of millions of people in poverty in low- and middle-income countries (LMICs).  We will operate at the intersection of global development actors, top AI labs, and leading researchers to drive meaningful access to the benefits of AI for the 3.5 billion people living in poverty globally. We will create “public good,” open-sourced playbooks, toolkits, and insights that define how to design and launch tractable and impactful AI-enabled programs. Given the scale of opportunity, we expect our portfolio to expand substantially, but to start, we’re scaling two programs focused on AI in Agriculture and AI in Health. We are led by CEO Kanika Bahl, a founding member of Anthropic’s Long-Term Benefit Trust, and advised by Nobel Laureate Michael Kremer; Dario Amodei, CEO of Anthropic; and Kent Walker, President, Global Affairs for Alphabet and Google. This work builds on Evidence Action’s track record reaching 530M+ people with cost-effective, evidence-based programs across 9 countries in Africa and Asia, with a focus on last-mile delivery. Our Approach We’re building an AI-native organization focused on designing solutions to reach tens or hundreds of millions of individuals living in poverty. We will focus both on delivering near-term, tractable direct impact as well as assisting governments to grow capacity and build enabling environments for the AI for Good ecosystem, including:  - Scaling “big bet” AI interventions to impact tens or hundreds of millions, such as delivering AI-enabled forecasts to smallholder farmers to improve yields and earnings, leveraging AI to dramatically improve medical diagnosis and treatment, implementing frontier systems to identify and mitigate disease outbreaks, or putting personalized AI tutors into the hands of students to drive reductions to system-level educational attainment gaps. When relevant, we will partner with leading AI labs to shape technical offerings, including adapting for underrepresented languages, bandwidth constraints, etc. - Partnering with governments in low- and middle-income countries (LMICs) to drive regulatory changes, policy, and investments necessary to unlock beneficial use cases at national scale, while proactively mitigating the downside risks of AI. Building on our recent Cross-Sector Analysis of near and medium-term AI opportunities in LMICs, we are advancing the highest-scoring interventions through a rigorous vetting process, including evidence reviews, cost-effectiveness analyses, risk assessments, and early operational/technical scoping. We are excited about the opportunity to deliver AI-enabled weather forecasting for smallholder farmers, and are now running deeper analysis on opportunities in global health.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description At Firestorm, we are building autonomous aerial systems that operate where they are needed most, when they are needed most. Our mission requires speed, ingenuity, and a relentless commitment to engineering excellence. We move fast, test constantly, and deliver capability that performs in the real world, not just in simulation. We are looking for a Lead AI Software Engineer who is excited to build, test, and deliver production-grade AI-enabled software systems. This is a hands-on role, working on end-to-end delivery from early prototypes through hardened deployments. You will potentially lead a small team in the future. This role blends strong software engineering fundamentals with modern AI system development: - Turning ambiguous user intent into reliable, structured outputs - Integrating safely with existing internal systems - Building the validation, observability, and governance required for high-integrity environments This is not a research-only role. You will ship, iterate quickly, and set the technical and execution standard for a team operating under demanding timelines. If you want to build systems that matter, own your work end to end, and be part of a team that values bold thinking grounded in rigorous engineering, Firestorm is the place to do it. Qualifications - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience) - U.S. Citizenship and the ability to obtain and maintain a U.S. Government security clearance - 8+ years of experience building and shipping production software systems (services, platforms, or distributed systems) - 4+ years of production AI/ML experience, including ownership of real-world reliability, safety, and performance outcomes - Demonstrated experience shipping LLM-enabled applications to production - Experience designing AI evaluation and quality gates - Experience operating AI systems in production - Strong proficiency in Python and at least one backend/systems language (e.g., Go, Java, C++, Rust) - Experience designing and evolving structured interfaces - Experience implementing safety/security controls for AI systems - Proven ability to lead execution in a fast-paced environment while staying highly hands-on - Excellent communication and documentation skills Requirements - Lead hands-on development of AI-enabled software systems from concept to deployment, balancing rapid iteration with engineering rigor - Support end-to-end delivery across product and engineering concerns: requirements intake, decomposition into structured outputs, validation, and release readiness - Build and maintain agentic workflows with clear safety and quality constraints - Define and enforce structured output contracts to reduce brittleness and enable long-term evolution - Establish build and release discipline - Drive operational readiness - Partner with adjacent engineering teams to integrate with existing platforms - Set team execution cadence - Identify high-risk failure modes in AI workflows and ship mitigations - Produce clear technical documentation and decision records Benefits - Comprehensive medical, dental, and vision plans - 401(k) Retirement Savings Plan - Equity grants for new hires - Unlimited PTO - Extremely generous company holiday calendar - Generous Parental Leave - Lifestyle Spending Account - FSA, DCFSA, HSA - Hospital Indemnity insurance - Critical Illness insurance - Accident insurance - Basic Life/AD&D, short-term and long-term disability insurance - Mental Health Resources available 24/7