Cloud/AI Engineer

Strategic Innovation Group LLC supports FAA mission objectives with secure, scalable cloud and AI solutions. In this senior Cloud/AI Engineer role (remote, based in Arlington, VA), you will help modernize legacy capabilities and build production-grade Generative AI capabilities designed for federal security and compliance requirements.

Compensation: USD 145,000 - 185,000 per year. Experience level: 15+ years. Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field.

What you’ll do

• Lead the design, development, deployment, and sustainment of secure, scalable cloud and AI solutions supporting FAA mission objectives.
• Collaborate with government stakeholders to translate business requirements into innovative, mission-focused technology.
• Drive modernization of legacy systems and enterprise platforms through cloud transformation and application modernization initiatives.
• Establish and promote architecture, engineering, security, and software development best practices across project teams.
• Provide technical leadership, mentoring, and guidance to engineering teams while supporting Agile delivery.
• Ensure solutions meet federal security, governance, compliance, and operational requirements across the system lifecycle.
• Develop and maintain technical documentation, architecture artifacts, and implementation plans to support operations and compliance.
• Evaluate emerging technologies, resolve complex technical challenges, and recommend improvements that enhance performance, reliability, and mission outcomes.
• Perform other duties as assigned.

Required experience and skills

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Cloud Engineer experience: 15+ years.
• AI Engineer experience: 1+ years.
• Experience delivering enterprise-scale solutions across public-sector and private-sector organizations, including ambiguous environments requiring problem discovery, requirements definition, and solution development.
• Hands-on experience in cloud engineering, cloud-based application development, and full stack software engineering.
• Proven ability to design, build, deploy, and operate production-grade applications across front-end interfaces, backend services, and cloud data platforms.
• Experience migrating legacy on-premises systems to the cloud, including refactoring monolithic legacy codebases into microservices and cloud-native tooling using Docker, Kubernetes, serverless services, and AWS, Azure, or Google Cloud.
• Experience leading or executing migrations from on-premises data warehouses to cloud data warehouses (including Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse), covering pipeline redesign, schema conversion, and data integrity validation.
• Strong proficiency in Python, JavaScript/TypeScript, React, FastAPI, SQL, Spark/PySpark, REST APIs.
• Expertise implementing CI/CD pipelines, DevOps practices, and infrastructure automation (for example Terraform and CloudFormation).
• Experience integrating enterprise systems through APIs, event-driven architectures, workflow orchestration platforms, and distributed services.
• Strong understanding of software engineering fundamentals, distributed systems, and cloud architecture best practices.
• Demonstrated ability to architect secure, scalable, and resilient cloud systems with attention to governance, auditability, data protection, and access controls.
• Hands-on experience developing and deploying Generative AI solutions, including LLMs, RAG, agentic AI systems, semantic search, and vector databases integrated into cloud-native application architectures.
• Experience managing the AI application lifecycle in cloud environments, including data ingestion, model integration, deployment, monitoring, observability, and continuous improvement using cloud-native MLOps tooling.
• Proven ability to collaborate with business stakeholders, product teams, and technical leadership to translate business requirements into scalable technical solutions and AI-enabled products.
• Experience delivering mission-critical applications in regulated, compliance-sensitive, or enterprise environments.
• Strong analytical and systems-thinking skills to identify operational challenges and develop technology solutions that deliver measurable business value.
• Must have ability to obtain a Public Trust clearance.

Preferred experience

• Prior experience in federal contracting or highly regulated enterprise environments.
• Active FAA clearance.

Benefits

• Great work/life balance
• Eligibility for performance-based participation in cash bonuses
• Potential to participate in growth of the company through incentives
• Excellent benefits, including health, dental, vision, generous PTO, a 401(k) with match, life insurance, short- and long-term disability, and an HSA

Technologies you’ll work with

Python, JavaScript/TypeScript, React, FastAPI, SQL, Spark/PySpark, REST APIs, Docker, Kubernetes, serverless services, AWS, Azure, Google Cloud, Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse, CI/CD pipelines, DevOps practices, Terraform, CloudFormation, APIs, event-driven architectures, workflow orchestration platforms, LLMs, RAG, agentic AI systems, vector databases, semantic search, MLOps tooling.

Security clearance requirement: Must have ability to obtain a Public Trust clearance.