Cloud/AI Engineer

Strategic Innovation Group LLC

Arlington (VA)

Remote

USD 160,000 - 230,000

Full time

8 days ago

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Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Generous PTO

401(k) with match

Life insurance

Short-term disability

Long-term disability

Health savings account (HSA)

Job summary

Strategic Innovation Group LLC is seeking a Cloud/AI Engineer to design, develop, and deploy secure, scalable cloud-native and AI solutions supporting FAA programs. This role serves as a senior technical leader responsible for modernizing legacy systems, architecting enterprise cloud platforms, and developing production-grade AI applications, including LLMs, RAG, and agentic AI capabilities.

The successful candidate will collaborate with government stakeholders, product teams, and engineering

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.
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).
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 (Terraform, CloudFormation).
Experience integrating enterprise systems through APIs, event-driven architectures, workflow orchestration platforms, and distributed services.

Responsibilities

Lead the design, development, deployment, and sustainment of secure, scalable cloud and AI solutions for FAA objectives.
Collaborate with government stakeholders to translate requirements into mission-focused tech solutions.
Modernize legacy systems and enterprise platforms through cloud transformation and app modernization.
Promote architecture, engineering, security, and software development best practices.
Provide technical leadership, mentoring, and guidance to engineering teams while supporting Agile delivery.
Ensure solutions meet federal security, governance, and compliance requirements throughout the lifecycle.
Develop and maintain technical documentation, architecture artifacts, and implementation plans.
Evaluate emerging technologies and recommend improvements for performance and reliability.
Perform other duties as assigned.

Skills

Cloud engineering

AI engineering

Enterprise-scale solutions

Full-stack development

Python

JavaScript/TypeScript

React

FastAPI

SQL

Spark/PySpark

REST APIs

CI/CD

DevOps

Terraform

CloudFormation

APIs integration

Event-driven architectures

MLOps

Stakeholder collaboration

Education

Bachelor's degree in Computer Science, Engineering, or a related technical field

Tools

Docker

Kubernetes

AWS

Azure

Google Cloud

Snowflake

Amazon Redshift

Google BigQuery

Azure Synapse

Job description

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 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.