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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. AI/ML Engineer II (6761) - **Company:** MetroStar Systems - **Location:** United States - **Experience:** Expert - **Salary:** $190,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Data Analysis, Automation of Tests, Cloud Computing, Cloud Engineering, Software Quality, Code Review, Continuous Delivery, Middleware, Scrum Methodology, Salesforce.Com, Systems Integration, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Generative AI, Event Driven Architecture, AI Platforms, Data Analytics, Data Management, Virtual Agents, Devsecops - **Published:** July 30, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9068055/sr-aiml-engineer-ii-6761 ## About the Role * A master's degree in a specialized field plus a minimum of 1 year of applicable experience; or, a bachelor's degree in the specialized field plus 7 years of applicable experience; or, a bachelor's degree in any field with a minimum of 9 years of specialized experience * Ability to obtain a Public Trust suitability and fitness * Experience developing AI-powered solutions such as agentic workflows, intelligent automation, autonomous agents, and business process optimization using generative AI, LLMs, RAG, and enterprise knowledge integration. * Experience integrating AI Agents with external systems using APIs, middleware, event-driven architectures, and cloud-native patterns, supporting enterprise modernization and cloud-based delivery initiatives. * This position may be required to travel once a quarter (5 Days) SALARY RANGE: $190,000.00 - $210,000.00 The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including: * The candidate's professional background and relevant work experience * The specific responsibilities of the role and organizational needs * Internal equity and alignment with current team compensation * This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include ## Description As Sr. AI/ML Engineer II, you'll support a Salesforce-centered modernization and digital transformation program. This role will design, develop, and deploy AI-driven Salesforce applications, autonomous agents, intelligent workflows, and decision-support capabilities that accelerate mission outcomes through automation, predictive insights, and human-AI collaboration. The ideal candidate will combine their expertise with hands-on experience implementing Agentforce, Einstein AI, Prompt Builder, Data Cloud, and generative AI capabilities. This individual will be a key contributor within an AI-enabled development team responsible for rapidly delivering mission-critical solutions through intelligent automation, agentic AI, modern software engineering practices, and continuous innovation. We know that you can't have great technology services without amazing people. At MetroStar, we are obsessed withour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers. If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below! What you'll do: * Design, develop, and deploy AI-driven applications that improve mission effectiveness, operational efficiency, and user productivity. * Develop autonomous and semi-autonomous agents capable of performing business functions, orchestrating workflows, retrieving knowledge, generating recommendations, and supporting mission execution. * Implement AI-driven workflow automation leveraging Agentforce, Prompt Builder, Einstein AI, Data Cloud, and emerging Salesforce AI capabilities. * Configure prompts, agent actions, grounding strategies, knowledge integrations, retrieval mechanisms, and orchestration workflows to deliver secure and effective AI solutions. * Design and implement human-in-the-loop AI experiences that balance automation with governance, transparency, accountability, and mission oversight. * Build AI-native user experiences that integrate conversational interfaces, intelligent recommendations, workflow automation, and decision-support capabilities directly into Salesforce applications. * Develop integrations between Salesforce, Agentforce agents, enterprise systems, data platforms, and external AI services to support intelligent workflow orchestration. * Design scalable architectures that combine structured data, unstructured content, enterprise knowledge sources, and AI reasoning capabilities. * Develop reports, dashboards, analytics, and AI-driven insights leveraging CRM Analytics, Data Cloud, and enterprise data sources. * Collaborate closely with Product Managers, Architects, UX Designers, Scrum Masters, and DevSecOps Engineers to deliver AI-enabled solutions aligned to business objectives. * Leverage AI-assisted development tools and emerging technologies to accelerate software delivery, improve code quality, automate testing, and increase developer productivity. * Ensure solutions align with security, governance, responsible AI principles, compliance requirements, and federal standards. * Support Agile development activities including sprint planning, backlog refinement, code reviews, testing, demonstrations, and continuous delivery. Troubleshoot, optimize, and continuously improve Salesforce applications, AI agents, automations, integrations, and intelligent workflows. ## Related Videos - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Developer’s Perspective: Overview of the Tezos Blockchain Ecosystem](https://www.wearedevelopers.com/videos/237-developer-s-perspective-overview-of-the-tezos-blockchain-ecosystem) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [AI Killed DevOps... 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