812027 Cloud Engineer $215,000.00

Location: Chantilly, VA
Core hours: 9 AM – 4 PM
Salary: Up to $215,000 per year
Position requires an active Top Secret (TS/SCI) clearance with a polygraph.

About the role

The Cloud Solutions Architect will lead a team that designs, trains, and deploys AI/ML systems for intelligence-community missions. Responsibilities span the full AI lifecycle—from framing data problems and building ETL pipelines to training models, productizing systems, and supporting operational users.

Responsibilities

• Train machine-learning models for tasks such as:
  • Automated web-scraping and “self-healing” scrapes
  • Visual detection of objects (vehicles, license plates, etc.) in video
  • Review and analysis of terms-of-service documents
  • Open-source data collection to train customer-owned AI/ML systems
• Develop complete AI-based systems that integrate multiple inputs, models, human-review workflows, databases, and outputs.
• Productize AI systems for use in intelligence-collection mechanisms.
• Provide operational support, including break-fix and software updates.
• Research open-source AI/ML technologies to bring cutting-edge capabilities to customer efforts.
• Collaborate with other IC elements engaged in AI initiatives.
• Frame and scale data problems; develop secure, scalable AI functionality in software applications.
• Align models with business objectives and track progress via metrics.
• Derive insights and analytic narratives from data visualizations for clear communication.
• Analyze AI/ML technology trends and their strategic implications.
• Perform independent technical research in robotics, autonomy, software engineering, and data analysis.
• Translate business requirements into AI solutions that fit the architectural framework.
• Program systems to detect specific conditions and respond autonomously.

Requirements

Mandatory

• Demonstrated experience understanding and automating customer workflows with AI solutions.
• Demonstrated experience in data structures, data modeling, and software architecture.
• In-depth experience with machine-learning tools and frameworks (PyTorch, TensorFlow, etc.).
• Extensive math and computer-science skills, including probability, statistics, and algorithms.
• Proficiency in AI/ML programming languages (Python, Java, C++, Conda, etc.).
• Experience training AI models and integrating pre-trained models into data flows and architectures.

Experience levels

• Developmental: 0–2 years
• Full Performance: 3–5 years
• Senior: 6–10 years
• Expert: 11–15 years
• Subject-Matter Expert: 16+ years

Optional

• Experience implementing secure AI solutions in the Intelligence Community.
• Experience working with highly sensitive data sets.
• Leadership of AI/ML initiatives.
• In-depth knowledge of ETL pipeline implementation.
• Experience building solutions in Amazon Web Services.
• Strong problem-solving and critical-thinking skills.
• Experience performing in a collaborative team environment.

Benefits

• Retirement
  • Full Vanguard 401(k) plan with 100 % employer match up to 6 % of salary.
  • Annual B4Corp phantom stock (2-year vesting).
• Insurance
  • Medical: United Health Care (multiple plan options).
  • Dental: United Concordia Flex Plan.
  • Vision: VSP Signature Plans.
  • Short-term disability: 60 % of salary up to $2,000/week.
  • Long-term disability: 60 % of salary up to $10,000/month.
  • Life insurance: $200,000.
• Paid Time Off
  • Seven weeks of leave per year (includes ten federal holidays).
  • Flexible work schedule with comp time (with customer approval).
• Other
  • Employee referral bonus: $3,000 per year for every year the referred employee works at B4Corp.