Role Description We are looking for a highly skilled AI Systems Engineer who will be part of a collaborative and agile team that supports and builds modern, usable, and responsive applications for mission-critical U.S. federal government health IT solutions. The Senior AI Systems Engineer will operate in a fast-paced innovation environment, rapidly developing and validating proof of concepts for advanced AI and machine learning use cases. The role centers on: - Experimenting with cutting-edge analytics tools - Integrating them into a cloud-based analytics ecosystem - Helping move successful concepts toward operational deployment - Hands-on data exploration - Prototyping - Workflow automation - Contributing to secure, well-governed MLOps practices The Software Engineer will work closely with engineering and product teams to: - Evaluate emerging tools - Build technical demonstrations - Document integrations - Communicate platform updates in a highly collaborative setting Qualifications - 5+ years of relevant software / systems engineering experience - Software engineering background with deep experience building production-grade applications and services - Expertise developing agentic AI systems, including planning, tool use, multi-step reasoning, workflow execution, or autonomous decisioning logic - Hands-on experience designing and implementing MCP based integrations, tool interfaces, or model-driven service frameworks - Ability to translate ambiguous business or mission requirements into scalable AI-driven solutions, balancing technical feasibility with real-world impact - Proficiency with LLM development practices including fine-tuning, RAG integration, prompt engineering, and interaction models for agent workflows - Strong Python development skills and familiarity with distributed compute environments, APIs, microservices, and cloud-native architectures - Experience integrating agents or LLM driven components into cloud platforms (Azure, AWS, GCP) or large scale data ecosystems - Understanding of LLMOps/MLOps principles including versioning, testing, deployment automation, monitoring, and governance for agentic systems - Demonstrated ability to lead solution design, mentor developers, and communicate complex AI architectures to technical and non-technical stakeholders - Experience with version control and modern CI/CD practices (e.g., Git/GitHub), including automated testing, deployment pipelines, and release management for production systems - Ability to obtain/maintain a Public Trust clearance Requirements - Experience building or contributing to multi-agent systems or coordinated agent workflows - Familiarity with frameworks such as LangChain, LlamaIndex, Strands Agents, LangGraph, CrewAI - Knowledge of evaluating agent performance, implementing guardrails, or designing safe action execution patterns - Hands-on work with vector databases, embedding models, or advanced retrieval techniques - Experience integrating agentic components into large scale analytics or data platforms (e.g., Databricks, Snowflake) - Background in data exploration or data modeling to support agent-driven decision processes - Experience building AI focused prototypes or experimenting with emerging agentic patterns in rapid iteration environments - Familiarity with optimization techniques such as model routing, response validation layers, or inference acceleration - Familiarity with systems that handle sensitive data in accordance with HIPAA and federal security standards, including implementation of encryption, access controls, auditability, and governance for protected health information (PHI) within AI/LLM workflows Benefits - Top-tier benefits package to invest in your physical, mental, and financial health and wellness - Opportunities to learn new skills, seize new challenges, and advance your career - A culture of inclusion and opportunity for all

• Designing, building, testing, and delivering production AI capabilities, including intelligent agents, workflows, MCP servers, integrations, machine learning models, and shared services • Developing AI-powered products that automate clinical, operational, financial, and patient-facing workflows across the Curve platform • Building, training, evaluating, deploying, monitoring, and continuously improving machine learning models and intelligent services running in production • Developing reusable MCP tools, APIs, and platform components that accelerate AI development across multiple platform teams • Writing high-quality production code while leveraging modern AI-assisted development tools, including Claude Code, to improve software quality and development productivity • Participating in technical design discussions, code reviews, testing, production deployments, and production support throughout the software development lifecycle • Working closely with Product, UX, Architecture, and development teams to transform business requirements into secure, scalable, maintainable software • Continuously improving AI capabilities through experimentation, prompt engineering, model tuning, evaluation, monitoring, and operational feedback • Taking ownership of production software by troubleshooting complex issues, improving reliability, and helping deliver exceptional customer experiences

• Develop and integrate LLM-based AI solutions via Copilot Studio & Prompt Flow; deploy AI agents into Teams, SharePoint, and Power Platform workflows. • Architect and deploy Microsoft 365 services (Exchange Online, OneDrive, Teams, SharePoint Online, Intune, M365 Apps) with scalable, secure designs. • Implement security & compliance features (Purview, Responsible AI) across M365 environments. • Automate tasks using PowerShell and build custom solutions with Power Automate & Power Apps. • Act as a trusted advisor for clients by leading technical workshops, delivering proofs of concept (POCs), and presenting AI and automation solutions with a clear, structured, and high‑impact communication style tailored to both technical and executive audiences. • Strong knowledge of Azure AI Foundry and Copilot Studio, with the ability to scale, operationalize, and govern AI solutions across enterprise environments, ensuring performance, security, and reliability as adoption grows.

Role Description We are looking for a passionate and skilled AI engineer to lead the AI engineering practice at a team or program level. In this role, you will guide the design and delivery of generative AI solutions, shape the technical roadmap for your team(s), and ensure high standards of engineering excellence. You will provide technical leadership to a small group of engineers, collaborate with product and business partners, and act as a trusted technical consultant for stakeholders. - Lead a cross-functional team of software engineers, data scientists and other specialists delivering GenAI solutions. - Guide the design and delivery of AI-powered systems that are scalable, reliable and production-ready. - Set direction for technical decisions, ensuring AI solutions are optimized for performance, cost and maintainability. - Collaborate closely with product managers, designers and stakeholders to align technical solutions with business goals. - Establish and promote best practices in AI engineering, covering testing, guardrails, responsible AI, monitoring and documentation. - Provide architectural guidance, balancing experimentation with delivery in short, safe cycles. - Review designs and code across the team, ensuring quality and consistency in AI-enabled features. - Set direction for GenAI application optimization to improve accuracy, performance, cost and know when model tuning is required. Qualifications - Strong expertise in Python and modern software engineering practices, including CI/CD, testing, version control and system reliability. - Proven ability to design and integrate end-to-end AI systems, ensuring scalability, maintainability and performance. - Deep experience with GenAI and agentic frameworks, guiding teams in their effective use. - Expertise in building and scaling RAG pipelines and integrating vector databases into production systems. - Experience deploying AI solutions on major cloud platforms, using containers and CI/CD pipelines for reproducibility. - Skilled in LLMOps practices and monitoring production systems with observability tools. - Experience with fine-tuning, model adaptation and advanced use of ML/NLP frameworks. Requirements - Ability to articulate complex technical concepts to non-technical audiences and influence senior decision-makers. - Proven ability to inspire, mentor and develop high-performing engineering teams, fostering a collaborative and inclusive environment. - Demonstrates the ability to anticipate technological trends and proactively shape the technical direction of the team. - Skilled in navigating complex internal and external dynamics, driving consensus and achieving technical and business goals. Benefits - Learning & Development: There is no one-size-fits-all career path at Thoughtworks; your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. - Responsible Use of AI in Recruitment: AI tools support our recruitment team with administrative tasks, but do not screen, assess, rank or make hiring decisions. - EEO: Thoughtworks is an equal-opportunity employer committed to providing equal employment opportunities to all qualified applicants. - US - Work Authorization: Applicants must have work authorization that does not require sponsorship of a visa for employment in the United States. - Accommodations: Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs. - Cancellations: Project scope or availability may shift, or projects may be cancelled during the recruitment and selection process. Company Description Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator.