Sr. AI Engineer I (Salesforce) (6637)

• Design, develop, and deploy AI-driven Salesforce applications that improve mission effectiveness, operational efficiency, and user productivity.
• Build and maintain custom Salesforce solutions using Apex, Lightning Web Components (LWC), Flows, Platform Events, APIs, and declarative platform capabilities.
• Design, configure, and deploy Salesforce Agentforce agents that automate business processes, support decision-making, and enhance user experiences.
• 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.

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
• Active Secret clearance
• Must be local to the DMV area with the ability to support onsite requirements in Washington, DC.
• Salesforce Platform Developer I Certification and Salesforce AI Associate Certification.
• 5+ years of experience developing Salesforce applications in enterprise environments, with strong hands-on expertise in Apex, Lightning Web Components (LWC), Salesforce Flows, Platform Events, APIs, and platform customization.
• Demonstrated hands-on experience implementing Salesforce Agentforce solutions, including Einstein AI, Prompt Builder, and Data Cloud in enterprise environments.
• 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 Salesforce with external systems using APIs, middleware, event-driven architectures, and cloud-native patterns, supporting enterprise modernization and cloud-based delivery initiatives.
• Strong understanding of Salesforce security, governance, and compliance, along with responsible AI principles, and experience working in Agile development and continuous delivery environments.

SALARY RANGE: $170,000.00 - $185,000.00

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

Additional Compensation: This role may also be eligible for bonuses and/or additional incentives based on individual and company performance.

Benefits: All full-time employees are eligible to participate in our benefits programs:

• Health, dental, and vision insurance
• 401(k) retirement plan with company match
• Paid time off (PTO) and holidays
• Parental Leave and dependent care
• Flexible work arrangements
• Professional development opportunities
• Employee assistance and wellness programs

Like we said, we are big fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits . Plus, check out our accolades.

The ideal candidate will combine deep Salesforce development 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.