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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI & Data Platform Engineering Manager - **Company:** SNC LTD - **Location:** Lone Tree, CO, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Information Engineering, Data Governance, Data Infrastructure, Machine Learning, Azure Machine Learning, Software Engineering, Enterprise Software Applications, Data Classification, Large Language Models, Snowflake, Multi-Agent Systems, Generative AI, Information Technology, Atlassian Tools, Machine Learning Operations, Azure AI, Api Management, Databricks - **Published:** October 15, 2026 - **Apply:** https://www.builtincolorado.com/job/ai-data-platform-engineering-manager/10935091?handler=ApplyRedirect ## About the Role * Bachelor's degree in computer science, mathematics, statistics, engineering, or related STEM field. * 6-8+ years of experience in AI/ML or software engineering, including 2+ years in a management role. * Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 13 years of related experience is required. * Higher level relevant degree may substitute for experience. * Demonstrated success leading engineering teams and delivering complex technical programs. * Expertise in generative AI/LLM techniques; familiarity with supervised and unsupervised ML for data platform use cases. * Experience architecting and optimizing ML pipelines and high-performance systems. * Strong understanding of security, compliance, and data governance requirements (CMMC, data classification) * Ability to drive cross-functional execution across software, data, and business platform teams. * AWS Machine Learning Specialty, Google Professional ML Engineer, or Azure AI Engineer Associate, or equivalent hands-on experience with a major cloud AI/ML platform. * CMMC/NIST SP 800-171 awareness or equivalent compliance training. Qualifications We Prefer: * Degree in AI/ML, data science, engineering, or related discipline. * AWS Solutions Architect (Associate or Professional) or Azure Solutions Architect Expert. * Databricks ML Professional, Snowflake SnowPro, or comparable data engineering certifications. * Advanced Generative AI or MLOps certifications (DeepLearning.AI, NVIDIA DLI) * Experience with LLM gateways, vector databases, agent orchestration frameworks, or prompt evaluation tooling. * Experience building or operating an internal LLM gateway, model routing layer, or enterprise AI API platform ## Description The AI/ML Engineering Manager II leads multiple AI/ML teams or a larger engineering organization. This role provides strategic technical oversight, ensures scalable development of complex ML systems, and drives alignment between engineering efforts and mission-critical program requirements. As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications. Responsibilities: * Lead the AI/LLM Platform and MLOps engineering team delivering the enterprise AI platform. * Provide deep technical guidance on LLM and generative AI architectures, including the LLM gateway, model routing, and agent/workflow orchestration. * Oversee integration of ML models and AI capability into enterprise systems and business platforms. * Establish strong validation, verification, and compliance processes. * Manage resourcing, budgeting, schedules, and risk mitigation. * Mentor senior engineers and technical leads. * Drive AI/LLM platform capability development and own the long-term technical roadmap for the platform., * Lead multi-team engineering operations in a hybrid environment. * Participate in integration events, customer reviews, and working groups. * Travel up to 20% for program execution and external coordination. * Provide technical escalation support for complex ML challenges., Manage healthcare revenue cycle activities including billing, collections, claims, accounts receivable, denials, payer follow-up, reconciliations, and reimbursement analysis. Support outsourced client engagements, improve operational workflows, communicate with clients, and provide guidance on revenue cycle best practices. Use EHR systems, payer portals, clearinghouses, and Microsoft tools while coordinating domestic and offshore teams and managing multiple client engagements. Top Skills: Billing SoftwareCernerClearinghousesEclinicalworksEhr SystemsEpicMeditechMicrosoft ToolsPayer Portals Atlassian Solution Sales Center of Excellence, Teamwork Collection 16 Minutes Ago In-Office or Remote USA Entry level Entry level Cloud * Information Technology * Productivity * Security * Software * App development * Automation Lead global mid-market sales performance and revenue growth for Atlassian's Teamwork Collection. Develop operating plans, strategic sales plays, inspection rhythms, and scalable go-to-market execution. Partner across sales, SDR, channel, demand generation, product, and marketing teams to increase pipeline, accelerate deal velocity, and expand market presence. Enable account executives and sales managers through field readiness, onboarding, and clear positioning of collaboration and AI solutions. Top Skills: AIEnterprise Saas, Atlassian