MetroStar Logo

MetroStar

Sr. AI/ML Engineer II (6761)

Posted 2 Days Ago
Remote
Hiring Remotely in USA
190K-210K Annually
Senior level
Remote
Hiring Remotely in USA
190K-210K Annually
Senior level
Design, develop, and deploy AI-driven Salesforce applications, autonomous agents, intelligent workflows, and decision-support capabilities. Implement Agentforce, Einstein AI, Prompt Builder, Data Cloud, LLMs, RAG, and integrations with enterprise systems. Build human-in-the-loop experiences, AI-native UX, analytics dashboards, and scalable architectures while ensuring security, governance, and Agile/DevSecOps practices.
The summary above was generated by AI

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 with our 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.

What you’ll need to succeed:

  • 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:
    • Performance-based bonuses
    • Company-paid training and/or certifications
    • Referral bonuses

To apply for this position, please submit your resume via the form below or through our careers page: https://www.metrostar.com/jobs/

Application Deadline:  Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration.

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.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.

 What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

 Not ready to apply now? 

Sign up to join our newsletter here.

Similar Jobs

44 Minutes Ago
Easy Apply
Remote
USA
Easy Apply
75K-90K Annually
Junior
75K-90K Annually
Junior
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
Own performance marketing across Meta and direct-buy networks. Set up, monitor, and optimize Meta campaigns; test and scale direct-buy partnerships; develop creative; maintain tracking (pixel/S2S, macros); analyze ROAS/CAC and report insights; negotiate with network partners; collaborate with Creative, Analytics, and Partnerships teams to grow acquisition channels.
Top Skills: Ad Network MacrosCpa EmailEmail RemarketingExcelFraud MonitoringGoogle SheetsMeta Ads ManagerNewsbreakNextdoorPixel TrackingQuoraS2S Tracking
59 Minutes Ago
Remote or Hybrid
162K-203K Annually
Senior level
162K-203K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead and develop a team of operational professionals supporting strategic partners. Manage complex client relationships, drive cross-functional process improvements, oversee strategic projects, analyze operational metrics, and deliver training. Client-facing role with approx. 25% travel and requires Spanish-English fluency.
59 Minutes Ago
Remote or Hybrid
Illinois, USA
183K-250K Annually
Senior level
183K-250K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead strategy, product and pricing for card products, drive marketing and credit risk analytics, manage P&L and cross-functional programs, mentor analysts, and execute product and go-to-market initiatives to improve growth and profitability.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account