Senior Applied AI Engineer - Data Science & Analytics

Join a fast-moving AI team focused on delivering high-impact AI capabilities that enable analysts and operators to make better, faster decisions. As a Senior Applied AI Engineer specializing in Data Science & Analytics, you’ll develop AI-enabled analytical tools that transform large and complex datasets into actionable insights. You’ll work directly with customers to understand analytical challenges, identify opportunities for AI and machine learning, and rapidly prototype capabilities that solve real operational problems. This team emphasizes customer collaboration, rapid iteration, and practical AI solutions over lengthy development cycles. Ideal for an engineer who enjoys combining data science, machine learning, and software engineering to create real impact. Responsibilities Design and develop AI-enabled analytics applications using Python and modern software engineering practices.

Perform exploratory data analysis, feature engineering, statistical analysis, and machine learning on operational datasets.

Develop pattern-of-life, anomaly detection, clustering, and predictive analytics capabilities.

Build retrieval-augmented generation (RAG) and LLM-powered workflows that enhance analytical processes.

Collaborate directly with customers to understand datasets and develop AI-driven analytical solutions.

Integrate structured and unstructured data into scalable AI applications.

Evaluate emerging AI and machine learning techniques for real-world applicability.

Mentor junior engineers and contribute to technical direction across the team.

12+ years with a Bachelor’s degree, OR

10+ years with a Master’s degree, OR

4 additional years of relevant experience in lieu of a degree, Experience developing production software using Python.

Experience with data science, machine learning, or statistical analysis.

Experience using libraries such as Pandas, NumPy, Scikit-learn, or similar.

Experience building AI or machine learning applications.

Strong analytical and problem-solving skills.

Experience working with SQL, Elasticsearch, or similar data platforms.

Nice to Haves Experience with LLMs, RAG, or agent frameworks (LangChain, LlamaIndex, etc.).

Experience with big-data tools (Spark, DuckDB, Polars).

Experience with visualization tools and dashboarding.

Experience deploying AI models in production environments.

Prior experience mentoring or leading small teams.

Pulled from the full job description

• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Dental insurance, Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents

Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents

401(k): 15% company contribution (no match required)