AI Development Engineer

Strategio Inc.; Dallas (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

A technology solutions firm is seeking a Data Scientist / AI Engineer for hybrid work in Dallas, TX. This role involves integrating data science with AI applications, employing statistical analysis and advanced Python to create AI-driven insights. Ideal candidates should have experience with LLM systems, statistical modeling, and the ability to translate complex data problems into AI solutions. Join a dynamic team and contribute to impactful technology projects.

Qualifications

• Strong Python development skills required.
• Experience with statistical modeling and probability analysis.
• Hands-on experience in building AI solutions and production-level LLM systems.

Responsibilities

• Perform statistical analysis to extract insights from data.
• Design and implement data models and analytical frameworks.
• Develop AI systems and workflows using natural language models.
• Connect AI systems with data sources for analytics.

Skills

Advanced Python development

Statistical analysis

Probability modeling

Data model design

LLM systems experience

RAG architecture implementation

Knowledge graphs

Embedding pipelines

Problem-solving skills

Cross-functional teamwork

Job description

Data Scientist / AI Engineer

Location : Dallas, TX - Charlotte, NC - Hybrid

The Opportunity

Strategio is seeking a Data Scientist with strong AI engineering capabilities to join a dynamic Technology Delivery Team supporting large-scale enterprise AI innovation initiatives.

You will work on designing and implementing systems that combine traditional data science methodologies with AI-powered applications, integrating advanced analytics, retrieval systems, and knowledge graph architectures to generate intelligent insights from enterprise data.

The ideal candidate brings deep analytical thinking, strong Python development skills, and hands‑on experience building AI‑enabled data solutions.

About You

You’re a curious and analytical problem‑solver who enjoys working at the intersection of data science, machine learning, and AI systems engineering.

You have experience applying statistical modeling and probability‑based analysis, but you also understand how to operationalize AI systems by integrating large language models, retrieval pipelines, and knowledge graphs into real‑world applications.

You’re comfortable navigating ambiguous problems, exploring new AI technologies, and iterating quickly to build solutions that extract meaningful insights from complex data.

You thrive in collaborative environments and bring strong ownership, curiosity, and adaptability to the work.

Responsibilities

• Perform statistical analysis and probabilistic modeling to extract insights from structured and unstructured data
• Design and implement data models and analytical frameworks
• Develop and integrate LLM-powered workflows and AI systems
• Implement Retrieval‑Augmented Generation (RAG) architectures
• Build and integrate knowledge graph‑based retrieval systems
• Develop embedding pipelines and vector representations to support AI‑powered data analysis
• Connect AI systems with enterprise data sources to enhance analytical capabilities
• Translate complex data problems into scalable AI‑enabled solutions
• Collaborate with cross‑functional engineering teams in Agile environments

Core Skills

• Advanced Python development
• Strong experience in statistical analysis and probability modeling
• Experience designing data models and analytical frameworks
• Real production experience with LLM systems, not just experimentation
• Experience implementing RAG or Graph‑RAG architectures
• Experience working with knowledge graphs
• Experience developing embedding pipelines and vector‑based retrieval systems
• Strong analytical and problem‑solving skills
• Ability to work across data science and AI engineering workflows

Nice‑to‑Haves

• Experience with vector databases (Pinecone, FAISS, Chroma, etc.)
• Experience deploying AI solutions to cloud environments (AWS, Azure, or GCP)
• Familiarity with ontology modeling or semantic data structures
• Experience working in startup or fast‑paced innovation environments

Your job search ends here.

If you’re eager to contribute to cutting‑edge projects and want to work with a high‑performance team, apply now.

At Strategio, we are committed to creating a diverse and inclusive work environment where everyone feels valued and respected. We work hard to create a culture of kindness, honesty, and respect, and we are dedicated to creating higher‑performing organizations by addressing the lack of diversity in the workforce. Individuals seeking employment are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability. You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.