Cloud/AI Engineer

Must have 15+ year experience with Bachler’s and 13+ years experience with Master’s. Please do not apply if you do not have the experience requirements.

Active Federal Aviation Agency Public Trust Clearance will get immediate attention.

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. The successful candidate will collaborate closely with government stakeholders, product teams, and engineering staff to deliver innovative, mission-critical technologies that improve operational efficiency, enable data-driven decision-making, and advance the FAA’s digital transformation initiatives while meeting stringent security, compliance, and governance requirements.

SIG is a fast growing 8(a) government contractor based in Arlington, Virginia. We offer a broad range of technical expertise and experience in Digital Transformation, Data Management/Data Science, and Systems Modernization. At SIG, our people are our mission. Come join our team! A successful candidate will be offered the following:

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.

ESSENTIAL DUTIES AND RESPONSIBILITIES

The essential functions include, but are not limited to the following:

• 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.

REQUIRED EXPERIENCE/QUALIFICATIONS

• 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 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 througho…