Sr. Solutions Architect III (6349)
About The Position
As a Sr. Solutions Architect III (Artificial Intelligence), you’ll lead with a minimum of 10 years of hands-on experience in architecting, designing, building, and maintaining robust and scalable AI solutions. The successful candidate will lead a team of full stack software, data, and AI/ML engineers and play a critical hands-on role in architecting, deploying, and managing AI solutions to generate insights and increase the value of data flowing through our customer’s modern data exchange capability. 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!
Requirements
- Active Top Secret with SCI eligibility security clearance.
- Bachelor's degree in an IT-related field, or equivalent experience can be substituted.
- 10 years of experience as an AI Architect, Technical Lead, or similar role, where you have been leading, managing, and mentoring a “two pizza team” of full stack engineers responsible for component implementation, testing, and automated CI/CD.
- Strong experience architecting, designing, implementing, and maintaining scalable and secure AI solutions in the cloud (AWS, Azure) at IL6+, involving methods such as generative AI (GenAI), RAG, NLP, deep learning, and LLMs.
- Strong experience with AI frameworks (e.g., TensorFlow, PyTorch, or Keras).
- Expert level hands-on experience with designing and developing CI/CD pipelines (e.g. GitLab, Jenkins, or similar) in a DevSecOps environment.
- Expert level hands-on experience with one or more of the following languages: Go, Python, Java, JavaScript.
- Excellent problem-solving and communication skills with the ability to resolve complex system issues to technical and non-technical stakeholders.
Responsibilities
- Lead the program's architecture, design, implementation, and deployment of AI components and services.
- Lead the program's AI solutioning conversations with the customer, being at the forefront of emerging government technology.
- Drive security best practices throughout the AI solution portfolio, implementing measures to safeguard data, applications, and services.
- Evaluate and select appropriate technologies, tools, and frameworks to optimize AI solution performance, security, and cost-effectiveness.
- Monitor AI solution performance, identify bottlenecks, and proactively optimize systems for maximum efficiency.
- Implement and maintain CI/CD pipelines to automate deployment processes, enabling rapid and reliable software delivery.
- Troubleshoot and resolve complex issues to minimize downtime.
Benefits
- 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
