Developer - Artificial Intelligence/Machine Learning

Developer - Artificial Intelligence/Machine Learning
About Us: ​Management Science & Innovation (MSI) is a boutique consulting firm with more than 20 years of experience helping federal and public-sector organizations solve complex management, operational, and organizational challenges. Our work is grounded in management science and informed by practical experience across strategy, operations, technology, and organizational transformation.
We pride ourselves on delivering strategic insights and transformative services to our clients, which has been the backbone of our growth and success over the past few years. As we look to sustain our success and expand our reach, we are seeking a dynamic and experienced Artificial Intelligence (AI) Developer to design, implement, configure, and maintain scalable, secure, and reliable platform environments supporting enterprise AI tool stack and applications.
Job Description: Responsibilities for this role include, but are not limited to:
Develop current- and target-state technical architectures for Artificial Intelligence/Machine Learning (AI/ML) platforms, tools, and supporting services.
Design, implement, and configure cloud, hybrid, and containerized platform solutions tailored to host, scale, and maintain the client's enterprise AI tool stack (including LLMs, inference runtimes, vector databases, and AI microservices).
Configure, optimize, and maintain compute (CPU/GPU), high-performance storage, networking, and platform services to support AI data processing, model deployment, and real-time inference workloads.
Support, monitor, and scale containerized (e.g., Docker, Kubernetes) and serverless application environments hosting AI models and integration services.
Design and implement reusable platform services and components (such as API routing layers, model registries, data retrieval harnesses, and shared inference endpoints) to accelerate AI adoption across client applications.
Automate environment provisioning, configuration management, and platform deployment using Infrastructure as Code (IaC) practices.
Required Qualifications:
Bachelor's degree in Information Technology or related field
3+ years experience with increasing client responsibility, including 2+ years hands-on experience designing, building, or maintaining AI/ML platforms, tool stacks, or intelligent application architectures .
Hands-on experience with cloud service providers (AWS or Azure) configuring compute, storage, networking, and managed platform services.
Proficiency in Python scripting and integration with AI/ML frameworks, libraries, and APIs (e.g., PyTorch, Hugging Face, LangChain, or enterprise LLM endpoints).
Demonstrated understanding of software architecture principles, API integration (REST/gRPC), and resolving cross-platform system dependencies.
Preferred Qualifications:
Experience with federal IT governance frameworks, software development lifecycles, and compliance standards.
Experience designing and implementing secure AI/ML workflows that adhere to federal standards (e.g., FedRAMP, NIST AI Risk Management Framework, FISMA).
Experience integrating AI platform services with enterprise CI/CD pipelines (e.g., GitLab CI/CD) and secrets-management solutions (e.g., HashiCorp Vault).
Experience with platform observability stacks (Prometheus, Grafana, OpenSearch/ELK).
Relevant cloud or AI certifications (e.g., AWS Certified Machine Learning / Solutions Architect, Azure AI Engineer Associate, or Azure Solutions Architect).
Job Type: Full-time
Pay: $100,000 - $115,000, per year
Benefits:
401(k)
401(k) matching
Dental insurance
Health insurance
Paid time off
Referral program
Vision insurance
Schedule:
Monday to Friday
Work Location: Remote

Work arrangement
Yes