Note: The job is a remote job and is open to candidates in USA. RIVA Solutions, Inc. is a digital transformation company delivering mission-driven technology solutions to federal customers across application development, cybersecurity, cloud infrastructure, and emerging technology. The AI Practice Lead will shape and scale the company’s AI practice by defining its roadmap, architecting and deploying secure AI/ML solutions, establishing MLOps and governance frameworks, and partnering with delivery and business development teams. The role also provides technical leadership, customer engagement, and mentorship for a multidisciplinary AI team.
Responsibilities
- Define and lead the roadmap for RIVA’s AI Practice, ensuring alignment with company strategy and customer mission outcomes
- Architect and deliver end-to-end AI solutions, including data ingestion, model design, training/tuning, deployment, and lifecycle governance
- Build and scale AI/ML operations (MLOps) pipelines with automation, monitoring, and version control best practices
- Serve as a hands-on technical expert, designing proofs of concept (POCs) and implementing AI system components as needed
- Partner with cross-functional teams to design scalable, secure, and cloud-native AI solutions using AWS and Microsoft Azure AI/ML services
- Collaborate with BD/Sales teams to develop AI-enabled proposals, build demonstrations, and engage with customers during pre-sales activities
- Establish and promote AI delivery standards, frameworks, and governance models emphasizing ethical and responsible AI use
- Integrate cybersecurity, compliance, and data privacy standards into AI architectures
- Track and evaluate emerging AI trends to identify new capabilities for adoption within RIVA’s delivery teams
- Mentor and grow a multi-disciplinary AI team of engineers, data scientists, and designers
- Define and monitor KPIs to measure AI adoption, customer success, and delivery quality across projects
Skills
- Bachelor's or Master's degree in Computer Science, Software Development, Engineering, or a related field
- 10+ years of experience delivering AI/ML-based solutions, including at least 5 years in an architecture or technical leadership capacity
- Proven hands-on experience building AI prototypes, ML models, and production-grade pipelines
- Strong experience with AWS and Microsoft Azure AI/ML services and cloud-native data architectures
- Expertise in machine learning (ML), deep learning (DL), and large language model (LLM) deployment and governance
- Familiarity with MLOps practices, continuous integration, and model lifecycle management
- Experience applying human-centered design principles to AI-driven solutions
- Knowledge of cybersecurity and data compliance considerations in AI environments
- Strong collaboration skills and ability to interface with both technical and executive stakeholders
- Excellent written and verbal communication skills
- U.S. Citizenship and the ability to obtain a Federal Security Clearance
- Advanced degree in Artificial Intelligence, Machine Learning, or Software Development
- Experience deploying Generative AI (GenAI) or LLM-based solutions in enterprise or federal environments
- Background building or scaling AI practices, Centers of Excellence (CoEs), or reusable AI frameworks
- Proficiency with Infrastructure as Code (IaC), containerization, and scalable microservice architectures
- Familiarity with low-code/no-code AI platforms or workflow automation tools
Benefits
- Paid Time Off / Sick Leave
- Health, Dental, and Vision Coverage
- Life Insurance
- 401K Retirement Plan with Company Match
- HSA/FSA Spending Accounts
- Long- and Short-term Disability
- Pet Insurance
- Wellness Program Initiatives
- RIVA Flex (Flexible Hours and Hybrid Work Support)
Company Overview