AI Engineer

Perks of Working at Ignite Digital:

• Competitive pay and benefits, including PTO
• Education stipends and referral bonuses
• Compelling work with the U.S. federal government
• Strong emphasis on volunteer and community engagement
• Opportunity to shape the future of our industry
• Supportive colleagues and management who invest in your growth

Overview:
We are seeking an AI Engineer to join our Data and AI team. This role combines expertise in machine learning and software engineering to deliver cutting-edge AI solutions. You will own the end-to-end machine learning lifecycle, integrate models into applications, and ensure optimal performance in production environments.
You will join a team supporting the company’s operations. This role will be crucial in the planning and execution of projects and driving customer satisfaction through delivering Data and AI solutions. As an AI Engineer you will be responsible for understanding, planning, and communicating technical opportunities and limitations to the team, working with both DnA team members and customers to satisfy customer needs.
To be successful in this role you must be able to communicate with a wide variety of individuals with varying levels of technical experience. You must be organized, have strong time management and planning abilities. Experience with Python, Snowflake, Github, Azure, and software engineering lifecycle is a plus.

Responsibilities

• End-to-End Lifecycle: Prepare, select models, train, and evaluate performance.
• Application Integration: Embed AI models into frontend and backend systems.
• Performance Optimization: Reduce latency and cost, keeping accuracy and reliability.
• Deployment & Observability: Collaborate with Technical Lead to ensure robust deployment and monitoring of AI solutions.

Required Qualifications

• Strong foundation in machine learning fundamentals and software engineering principles.
• Proficiency in Python, cloud services (AWS, Azure, or GCP), and application frameworks.
• Ability to design, implement, and evaluate models for real-world business use cases.
• Experience with APIs, microservices, and system integration.
• Bachelor’s degree in computer science, math, statistics, or similar.

Preferred Qualifications

• Experience with MLOps practices for scalable deployment
• Experience in government or defense projects with security compliance
• Knowledge of observability tools and performance monitoring
• Extensive knowledge of Snowflake, Python, Azure, GitHub
• Strong analytical and problem‑solving abilities
• Excellent communication and collaboration skills
• Customer service focused with strong consulting ability
• Ability to thrive in a fast‑paced, mission‑driven environment

Salary

80k+ to align with education and experience.

Equal Opportunity Employer/Veterans/Disabled

For individuals who would like to request an accommodation, please visit https://bit.ly/2XqZoLM (CA) or https://bit.ly/3Eo922f (SC) or contact Human Resources. Ignite Digital Services will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal employment opportunity, employment eligibility requirements or related matters. Nor will Ignite Digital Services require, in a posting or otherwise, U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.