Lead AI/ML Architect

Job Description

Job Description

Overview

Lead AI/ML Architect

 

Remote

 

Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer’s core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level!  

 

The Lead AI/ML Architect is responsible for identifying, designing, and governing Artificial Intelligence (AI) and Machine Learning (ML) solutions that enhance the GSAFleet.gov platform and support GSA Fleet's strategic objective of workforce augmentation, automation, analytics, and data-driven decision-making. The role is a member of the Program Management Team and serves as the senior advisor for AI strategy, architecture, and implementation.

Responsibilities

• Discover and prioritize Fleet AI/ML use cases for analytics, intelligent workflows, automation, and workforce support.
• Evaluate each use case for data readiness, mission value, feasibility, dependencies, risk, and operating cost.
• Design model, data pipeline, interface, monitoring, quality, governance, security, and deployment requirements.
• Present solution options and cost-benefit recommendations to GSA IT and Fleet business stakeholders.
• Coordinate with the Data Architect, Solution Architect, ISSO, and product teams to implement approved capabilities.
• Measure deployed solution performance and business outcomes and recommend refinements.
• Other duties as assigned

Qualifications

• Bachelor’s Degree in a related field
• 5+ years of progressively responsible experience designing, developing, and deploying enterprise-level Artificial Intelligence/Machine Learning (AI/ML) solutions.
• Must be able to undergo a Tier 2S Investigation and receive a favorable investigation/adjudication outcome
• Successfully pass background and drug screening

 

Preferred Qualifications:

• Delivered AI/ML for vehicle utilization, maintenance, telematics, transaction anomalies, or fleet demand forecasting
• Relevant cloud AI/ML credentials (Certified Machine Learning Engineer – Associate, AWS Certified Solutions Architect – Associate, AWS Certified Solutions Architect – Professional)

 

Knowledge, Skills and Abilities:

• Proven ability to lead and drive multiple parallel, complex customer AI/ML solution-design efforts from inception through solution recommendation/proposal.
• Demonstrated expertise conducting comprehensive business and technical discovery with diverse customers to identify strategic needs and high-impact opportunities for AI/ML adoption.
• Demonstrated experience identifying, proposing, and architecting novel AI/ML solutions, architectures, and use cases, including areas such as predictive modeling, natural language processing, computer vision, and generative AI.
• Demonstrated ability to present complex AI/ML solutions and data-driven recommendations to senior technical and business stakeholders, combining business acumen with technical expertise and connecting proposed solutions to measurable program outcomes.
• Demonstrated ability to develop robust, defensible, data-driven recommendations for AI/ML engagements, including proactively identifying and mitigating critical dependencies, risks, and gaps such as data quality and model governance.
• Demonstrated experience designing interface standards, quality assurance standards, and performance standards for highly available and reliable AI/ML systems.
• Demonstrated experience conducting rigorous cost-benefit analyses and Total Cost of Ownership (TCO) assessments for modern enterprise AI/ML systems.
• Deep analytical knowledge of AI/ML technologies, platforms, and frameworks, such as TensorFlow, PyTorch, AWS SageMaker, Azure Machine Learning, Google Vertex AI, or comparable technologies.
• Demonstrated ability to evaluate AI/ML technology alternatives and make strategic, data-driven recommendations regarding technology selection and optimal implementation

 

How you’ll grow

At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their careers to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn.  

We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers.  

Benefits

At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits.  

Learn more about what working at Chenega MIOS can mean for you.  

Chenega MIOS’s culture

Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives.  

Corporate citizenship

Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities.  

Learn more about Chenega’s impact on the world.  

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Tips from your Talent Acquisition Team

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