Cloud/AI Engineer

Strategic Innovation Group LLC is seeking a senior Cloud/AI Engineer to design, develop, and deploy secure, scalable cloud-native and Generative AI solutions supporting FAA programs.

Responsibilities

• Lead end-to-end design, development, deployment, and sustainment of secure, scalable cloud and AI solutions aligned to FAA mission objectives.
• Partner with government stakeholders to translate business requirements into mission-focused technology solutions.
• Drive modernization of legacy systems and enterprise platforms through cloud transformation and application modernization initiatives.
• Set 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 satisfy federal security, governance, compliance, and operational requirements across the full system lifecycle.
• Create and maintain technical documentation, architecture artifacts, and implementation plans supporting operations and compliance.
• Assess emerging technologies, troubleshoot complex technical issues, and recommend improvements to raise performance, reliability, and mission outcomes.
• Perform other duties as assigned.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Cloud Engineering experience: 15+ years.
• AI Engineering 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 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 and refactoring monolithic legacy codebases into microservices 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 data warehouse platforms (e.g., Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse), including data pipeline redesign, schema conversion, and validation of data integrity.
• Strong proficiency with Python, JavaScript/TypeScript, React, FastAPI, SQL, Spark/PySpark, and REST APIs, plus modern software development frameworks.
• Expertise implementing CI/CD pipelines, DevOps practices, infrastructure automation (e.g., Terraform, CloudFormation), and platform engineering principles.
• Experience integrating enterprise systems using APIs, event-driven architectures, workflow orchestration platforms, and distributed services.
• Strong understanding of software engineering fundamentals, distributed systems, and cloud architecture and application engineering best practices.
• Ability to architect secure, scalable, resilient cloud systems with focus on 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 problem-solving skills with systems-thinking to identify operational challenges and develop solutions delivering measurable business value.
• Must have ability to obtain a Public Trust clearance.

Technologies

• 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; distributed services
• Large Language Models (LLMs); Retrieval-Augmented Generation (RAG); agentic AI systems
• Vector databases; semantic search; MLOps tooling

Benefits

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

Preferred Experience/Qualifications

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

Location: Arlington, VA 22201 (remote). Salary: USD 145,000 - 185,000 per yearly. Experience: 15 years minimum.