About the Company
Fractal Analytics partners with Fortune 500 companies to help them make better decisions through artificial intelligence and advanced analytics. The company focuses on combining human imagination with intelligent technology to solve complex business challenges and support enterprise decision-making.
Fractal values individual perspectives, creativity, and diversity, with a focus on developing AI solutions that help organizations improve how they work and make decisions.
About the Role
Fractal Analytics is seeking a Senior AI Engineer with strong Azure architecture and cloud engineering expertise to support enterprise AI initiatives. This role combines hands-on technical development with architecture, security, governance, and technical leadership.
You will work with generative AI patterns, including retrieval-augmented generation (RAG), evaluation, and guardrails, as well as agentic AI approaches involving Skills and the Model Context Protocol (MCP). The position also requires practical experience with core Azure services and Databricks, along with a strong understanding of cloud infrastructure, networking, security, DevOps, and monitoring.
The ideal candidate has experience working directly with clients, can guide technical teams through complex engineering challenges, and understands how to build secure, governed, and reliable AI applications for enterprise environments.
Key Responsibilities
•Provide architecture-level expertise in Microsoft Azure for client-facing engagements.
•Apply generative AI patterns, including RAG, model evaluation, and guardrails, to enterprise AI solutions.
•Work with agentic AI approaches, including Skills and MCP.
•Design and implement solutions using core Azure services and Databricks.
•Address cloud engineering requirements across networking, security, DevOps, and monitoring.
•Support AI application security and governance, including identity and access management (IAM), data access controls, and auditability.
•Lead technical teams and guide engineering decisions throughout solution development.
•Communicate technical concepts, recommendations, and solutions clearly to clients and internal stakeholders.
•Apply problem-solving skills to address complex architecture, cloud, and AI engineering challenges.
Required Qualifications
•Architect-level experience with Microsoft Azure in client-facing roles.
•Working knowledge of generative AI patterns, including RAG, evaluation, and guardrails.
•Understanding of agentic AI concepts, including Skills and MCP.
•Strong hands-on experience with core Azure services and Databricks.
•Cloud engineering expertise covering networking, security, DevOps, and monitoring.
•Experience with AI application security and governance, including IAM, data access, and auditability.
•Strong leadership, communication, and problem-solving skills, with the ability to lead technical teams.
Salary and Benefits The estimated salary range for this position is $150,000–$160,000. Actual compensation depends on factors such as skills, experience, training, certifications, and business needs. The stated range does not include geographic pay adjustments, and individual offers will depend on the circumstances of each candidate. A discretionary performance-period bonus may also be available.
Eligible employees receive the following benefits in accordance with the applicable plan terms:
•Health, dental, vision, life insurance, and disability coverage, beginning on the first day of employment.
•Eligibility to participate in the company's 401(k) plan after 30 days of employment.
•11 paid holidays.
•12 weeks of parental leave.
•A flexible, free-time PTO policy for vacation and sick time.
Work Arrangement and Sponsorship
This is a remote position. Immigration sponsorship is not available for this role at this time.
Equal Employment Opportunity
Fractal Analytics provides equal employment opportunities to employees and applicants. The company prohibits discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local laws.