Note: The job is a remote job and is open to candidates in USA. Strategic Innovation Group (SIG) is seeking a Cloud/AI Engineer to design, develop, and deploy secure, scalable cloud-native and artificial intelligence solutions supporting Federal Aviation Administration (FAA) programs. This role serves as a senior technical leader responsible for modernizing legacy systems, architecting enterprise cloud platforms, developing production-grade AI applications, and implementing Generative AI capabilities including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI solutions.
Responsibilities
- 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 solutions
- Lead the 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 project delivery
- Ensure solutions meet federal security, governance, compliance, and operational requirements throughout 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
Skills
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- Cloud Engineer experience: 20+ years
- AI Engineer experience: 3+ years
- Experience delivering enterprise-scale technology solutions across public-sector and private-sector organizations, including highly 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 track record designing, building, deploying, and operating production-grade applications spanning front-end interfaces, backend services, and cloud data platforms
- Experience migrating legacy on-premises systems to the cloud and refactoring monolithic legacy codebases into microservices architectures and cloud-native tooling, using Docker, Kubernetes, serverless services, and cloud platforms such as AWS, Azure, or Google Cloud
- Experience leading or executing migrations from on-premises data warehouses to cloud-based data warehouse platforms (e.g., Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse), including data pipeline redesign, schema conversion, and validation of data integrity throughout the migration
- Strong proficiency in Python, JavaScript/TypeScript, React, FastAPI, SQL, Spark/PySpark, REST APIs, and modern software development frameworks
- Expertise implementing CI/CD pipelines, DevOps practices, infrastructure automation (e.g., Terraform, CloudFormation), and platform engineering principles to support scalable cloud delivery
- Experience integrating enterprise systems through APIs, event-driven architectures, workflow orchestration platforms, and distributed services
- Strong understanding of software engineering fundamentals, distributed systems, cloud architecture, and cloud application engineering 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 Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI systems, semantic search, and vector databases, integrated into cloud-native application architectures
- Experience managing the AI application lifecycle within 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, problem-solving, and systems-thinking skills with the ability to identify operational challenges and develop technology solutions that deliver measurable business value
- Prior experience in federal contracting or highly regulated enterprise environments
- Active FAA clearance
Benefits
- Greatwork/life balance
- Eligibilityforperformance-basedparticipationincashbonuses
- Potential toparticipatein growth of the company through incentives
- Excellent benefits,includinghealth, dental, vision,generousPTO, a 401(k) with match, life insurance, short- and long-term disability,anda health savings account (HSA)
- Additionally, this position is expected to be generally remote, with occasional visits to the office and client facilities in the Washington, DC metropolitan area as needed.
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