AI Technical SME/Architect

Role Description

Alpha Omega is seeking a highly technical, hands-on AI Technical SME / Architect to drive the adoption of artificial intelligence across a diverse federal application portfolio. This role combines deep engineering expertise, AI solution delivery, and organizational enablement.

The ideal candidate will model the capabilities of a senior engineer—bringing strong cloud-native architecture, DevSecOps, and full-stack engineering experience—while expanding into AI enablement, coaching, and cross-team transformation.

This individual will act as a trusted advisor, builder, and evangelist, helping multiple application teams modernize, automate, and embed AI capabilities within a heterogeneous ecosystem spanning .NET, Java, Node.js, Python, Angular, legacy ASP/VB, COBOL, and mixed cloud/on-prem environments.

Key Responsibilities

• Hands-On AI Solution Engineering
  • Design, develop, and deploy AI-enabled solutions and prototypes integrated into mission-critical systems
  • Embed AI into workflows such as:
    • Developer productivity (code generation, testing, refactoring)
    • Operations automation (AIOps, anomaly detection)
    • Data-driven insights and decision support
  • Build and integrate AI services within cloud-native (Azure) and hybrid architectures
  • Develop reusable frameworks, accelerators, and reference implementations
• Cloud & Platform Architecture Leadership
  • Architect scalable, secure AI/ML solutions leveraging:
    • Azure (App Services, AKS, Functions, Data Services)
    • Containerization (Docker, Kubernetes)
    • CI/CD pipelines and DevSecOps practices
  • Guide modernization efforts for legacy and hybrid systems (ASP, VBScript, COBOL → cloud-native patterns)
  • Establish patterns for microservices, API-first architectures, and distributed systems
• AI Enablement, Coaching, and Evangelism
  • Act as an AI coach and mentor to multiple engineering teams
  • Conduct:
    • Training sessions
    • Hands-on workshops
    • Office hours and advisory sessions
  • Drive AI literacy and adoption across the organization
  • Establish and curate knowledge repositories, playbooks, and best practices
• Portfolio-Wide Technology Enablement
  • Analyze application portfolio to identify:
    • AI insertion points
    • Automation opportunities
    • Technical debt reduction strategies
  • Work across a broad stack including:
    • Languages: C#, Java, JavaScript, Python, Go
    • Frameworks: .NET, Spring, Node.js, Angular
    • Databases: SQL Server, Oracle, DB2, MySQL, PostgreSQL, Elasticsearch
  • Support both modern cloud apps and legacy mission systems
• DevSecOps & Engineering Excellence
  • Implement and optimize CI/CD pipelines
  • Infrastructure as Code (Terraform)
  • Observability and monitoring solutions
  • Drive adoption of secure coding, governance, and compliance practices aligned with federal standards
  • Improve release velocity, resilience, and scalability
• Metrics, Value Realization, and Governance
  • Define and track KPIs for AI adoption and efficiency gains
  • Measure:
    • Productivity improvements
    • Cost optimization
    • Quality and cycle time improvements
  • Ensure AI implementations align with federal guidelines, security, and responsible AI practices

Qualifications

• Bachelor’s Degree in Computer Science or related field (or equivalent experience)
• 8+ years of experience in software engineering, cloud architecture, or platform engineering
• Hands-on expertise in:
  • Cloud platforms (Azure preferred)
  • Containerization (Docker, Kubernetes)
  • CI/CD and DevSecOps
• Strong programming experience across multiple languages and frameworks
• Experience integrating or implementing AI/ML solutions in enterprise environments
• Proven ability to work across both modern and legacy systems

Preferred Qualifications

• Experience working in federal or regulated environments
• Background in:
  • AI/ML frameworks and applied AI (LLMs, automation, analytics)
  • Microservices and distributed systems
  • Large-scale application modernization initiatives
• Experience in a coaching, mentoring, or technical leadership role
• Familiarity with zero trust architectures and secure cloud patterns

Key Traits for Success

• Hands-on builder with ability to prototype and deliver working solutions
• Systems thinker who can navigate complex, heterogeneous portfolios
• Mentor and teacher who uplifts teams and drives adoption
• Strategic influencer who can evangelize AI across engineering and business stakeholders
• Strong communication skills with ability to engage technical and non-technical audiences

What Sets This Role Apart

• Direct impact on enterprise-wide AI transformation across dozens of applications and technologies
• Opportunity to shape AI adoption strategy in a regulated federal environment
• Blend of:
  • Hands-on engineering
  • Architecture leadership
  • Organizational transformation

Salary and Benefit Information

The likely salary range for this position is $145,000 - $170,000. This is not, however, a guarantee of compensation or salary. There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, education and certifications as well as contract provisions regarding labor categories that are specific to the position and could fall outside of this range.

• 15 days PTO including paid parental, military, and bereavement leave
• Eleven (11) paid Federal holidays, five of which are floating holidays (as designated by the company’s holiday schedule each year)
• Health and Dental Insurance (including 100% employer paid premiums for employee coverage under the HDHP health plan)
• Life Insurance, STD/LTD term disability coverage, with employer paid premiums
• 401 (k) plan with a match that is 100% vested after you complete two years of service
• FSA/DFSA/HSA flexible benefit plans
• Annual Tuition & Professional Development Reimbursement benefit

Application Deadline

8/28/2026