Opportunity Overview: Reporting to the Chief Digital & Technology Officer, the Vice President of AI Engineering & Agent Platforms will lead the teams responsible for AI platform engineering, agent platforms, agent runtime systems, skills and prompt lifecycle management and framework, AI infrastructure, MLOps/LLMOps, and forward deployed AI engineering. This role partners closely with the Chief Data & AI Officer, who owns Cohere's AI strategy, model development, evaluation frameworks, prompt design and governance, skills requirements and behavior, knowledge management frameworks, and data science functions. The VP of AI Engineering & Agent Platforms is responsible for operationalizing, scaling, deploying, and running those capabilities across Cohere's products and customer environments. This leader will build the platforms, engineering systems, and deployment capabilities that enable Cohere to rapidly deliver AI-powered solutions while maintaining the reliability, security, and compliance required in healthcare. What You'll Do:Build and Scale Our AI PlatformLead the engineering organization responsible for the foundational platforms and services that power Cohere's AI ecosystem. Responsibilities include: - AI infrastructure and runtime platforms - Agent orchestration, workflow, and execution services - Document processing and knowledge ingestion pipelines - MLOps and LLMOps capabilities - AI observability, monitoring, and reliability - Partnership with core teams to build AI native Developer platforms and engineering productivity tools - Build and evolve Cohere's enterprise agent platform, enabling teams to rapidly develop, evaluate, deploy, govern, and operate AI agents at scale. Lead Agent EngineeringBuild the frameworks, services, and reusable capabilities that enable teams to rapidly develop, test, deploy, and operate secure, observable, and production-ready AI-powered solutions. Areas of focus include: - Agent architectures, orchestration, and runtime frameworks - Multi-agent systems and workflow automation - Skills management and reusable action frameworks - Evaluation, testing, and agent observability infrastructure - Human-in-the-loop and supervised AI workflows - Enterprise integrations and action surfaces - Partnership in skills design with data science Design and scale the engineering systems used to build, manage, deploy, and govern reusable agent skills across healthcare workflows. Lead Prompt and Skills Lifecycle OperationsEstablish the platforms and operational capabilities required to manage AI behavior at scale. Responsibilities include: - Prompt lifecycle management - Prompt deployment and versioning - Prompt testing infrastructure - Skills deployment and governance - Agent configuration management - AI release management and rollback capabilities Scale a Forward Deployed AI Engineering OrganizationLead a team of customer-facing engineers responsible for deploying and operationalizing Cohere's AI solutions within customer environments. This organization partners closely with customers to: - Implement AI-powered workflows - Integrate with enterprise systems - Accelerate adoption and value realization - Establish repeatable deployment patterns that enable scale - Support complex customer implementations and transformations Drive Operational ExcellenceEstablish engineering best practices, platform standards, and operational processes that allow Cohere to scale AI safely and efficiently across customers, products, and healthcare workflows. Partner closely with Product, Clinical Operations, Customer Success, Security, and the Chief Data & AI Officer's organization to ensure AI capabilities move efficiently from concept to production. What you’ll need:Must-Haves - 15+ years of software engineering experience, including significant leadership responsibility - Experience leading large-scale platform, infrastructure, or AI engineering organizations - Proven track record building and operating cloud-native, data-rich products and platforms - Experience deploying AI-powered applications into production environments - Experience with AWS or other modern cloud-native technologies - Healthcare or other highly regulated industry experience - Deep understanding of distributed systems, platform engineering, and modern software architecture - Experience building and leading high-performing engineering teams Nice-to-Haves - Experience with generative AI, agentic systems, and AI platform development - Experience building agent platforms, skills frameworks, or AI developer platforms - Experience with MLOps, LLMOps, AI infrastructure, and developer tooling - Experience working directly with enterprise customers on complex technical implementations - Track record developing data-rich applications leveraging structured and unstructured data - Experience leading customer-facing engineering or forward deployed engineering organizations Leadership CharacteristicsThe ideal candidate is: - A platform builder who thinks in systems, scale, and reusable capabilities - Passionate about turning innovation into reliable, production-ready products - Customer-focused and outcome-oriented - Comfortable leading through rapid growth and organizational change - Equally effective in technical architecture reviews and executive discussions - Excited about helping define the future of agentic AI in healthcare This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. Pay & Perks: 💻 Fully remote opportunity with about 15% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Flex Time Off + company holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance  The salary range for this position is $280,000 to $340,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: - Connect with Talent Acquisition for a Preliminary Phone Screening - Meet your Hiring Manager! - Behavioral Interview(s) *Subject to change About Cohere Health: Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately. Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. We can’t wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal. #LI-Remote #BI-Remote

Role Description - Demonstrated production-quality experience in: - Design, building and deploying AI/ML solutions in the Azure ecosystem, including Azure ML, Azure OpenAI and Azure AI search - Python and SQL fluency in production environments - 5+ years delivering production-grade classical ML/AI - 1-2 years building LLM systems in production - API integration, batch and/or streaming pipelines - Caching, cost management, rate limiting and token tracking - RAG architectures - Tool use and agentic workflows (LangChain/LangGraph) - Design and operate production APIs with authentication, authorization, logging, monitoring and observability - Hands-on experience with vector databases and semantic search, e.g., Azure AI Search (indexing, skillsets, semantic search, filters, etc) - Building Chatbot and assistant solutions - API endpoints and session management - Secure authentication - Feedback loops and continuous improvement - nice to have - Context management strategies, memory and session behaviour - Collaborate with Data Engineers to source, prepare, and label datasets. - Designing and implement MLOps workflow: - Model/version control - CI/CD deployment - Monitoring and observability - Exposure to classical ML pipeline alongside GenAi systems Company Description

Role Description We are seeking an experienced AI Platform Administrator to support and manage enterprise AI tools, including Microsoft Copilot, Copilot Studio, and ChatGPT Enterprise. This is a hands-on role focused on platform administration, user support, AI agent management, governance, and operational excellence. - Administer and support enterprise AI platforms and related technologies - Manage user access, permissions, configurations, and platform operations - Assist users with AI agent creation, testing, publishing, and troubleshooting - Support integrations, workflows, authentication, and platform issues - Monitor platform health, adoption, and usage metrics - Collaborate with governance, security, and business teams to ensure compliant use of AI solutions - Contribute to operational documentation and platform best practices Qualifications - Experience administering Microsoft Copilot, Copilot Studio, ChatGPT Enterprise, or similar AI platforms - Background supporting Microsoft 365, SharePoint, Power Platform, or related SaaS environments - Experience with AI agents, conversational AI solutions, or chatbot platforms - Strong troubleshooting skills across user access, integrations, workflows, and platform operations - Understanding of information governance, security, and compliance concepts - Ability to work independently in a fast-paced environment Requirements - Microsoft Copilot Studio experience - Power Platform administration experience - Familiarity with Microsoft Purview and information governance practices - Experience supporting large-scale enterprise AI initiatives - Relevant Microsoft certifications Benefits - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Company Description We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

• Identify, design, and integrate Generative AI solutions into existing business workflows to deliver measurable value • Design, architect, implement, and productionize traditional software applications and GenAI agents. • Partner with users and stakeholders to scope the use case, gather requirements, establish success criteria, and deliver an intuitive, high-quality UX. • Lead high-impact initiatives across multiple business functions, including Manufacturing, Legal, Finance, R&D, Supply Chain, Procurement, and Sales. • Mentor & help accelerate the work of junior developers; foster collaboration and teamwork and pair-programming culture. • Collaborate with related teams (ie. Cybersecurity, Infrastructure, Data Engineering, Office 365) to go thru approvals, architecture, security & governance reviews. • Manage the full lifecycle of deployed applications, including debugging, enhancements, upgrades, and continuous improvement driven by user feedback and evolving technology.