The Role
Leads the architecture and delivery of scalable data engineering, AI/ML, and agentic AI solutions. Partners with technical and business stakeholders, oversees implementation quality, conducts code reviews, manages backlogs, timelines, resources, and risks, and coordinates delivery across teams. The role also evaluates emerging technologies, monitors progress, prepares status reports, facilitates meetings, and maintains technical documentation.
Summary Generated by Built In
Role Name
Lead Engineer - Data Engg & AI
Experience
10+ years
Location
Dallas
Summary
Lead the design and implementation of data engineering and AI solutions for a SOW-driven engagement. This role partners with data scientists, software engineers, and business stakeholders to architect scalable systems, deliver advanced AI/ML capabilities, and keep execution on track. The position also owns technical quality, risk management, and delivery coordination across the team.
Key Responsibilities
- Define architecture and design for software, systems, and data solutions
- Architect and implement advanced AI/ML models and agentic AI solutions
- Coordinate with stakeholders, data scientists, software engineers, and business teams
- Manage timelines, resources, backlog prioritization, and risk mitigation
- Conduct code reviews and enforce quality standards
- Evaluate new tools, techniques, and approaches to improve delivery
- Monitor progress, review deliverables, and ensure deadlines are met
- Prepare status reports, facilitate meetings, and maintain documentation
Required Skills
Data engineering architecture, AI/ML model design and implementation, Agentic AI solutions, Stakeholder coordination, Code review and quality assurance, Delivery planning and risk mitigation, Scalability, performance, and reliability engineering
Preferred Skills
Cloud-native data platforms, MLOps practices, Technical documentation, Cross-functional team leadership, Backlog management
Preferred qualifications
Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience; advanced degree preferred.
About company
IT Services and IT Consulting
We enable intelligent enterprises by translating business outcomes into
decision-centric data products, powered by AI Factory Construct, accelerators, and Agentic Intelligence, supported by Leading AI and Enterprise Platforms.
Skills Required
- 10+ years of professional experience
- Data engineering architecture experience
- AI/ML model design and implementation experience
- Agentic AI solutions experience
- Stakeholder coordination experience
- Code review and quality assurance experience
- Delivery planning and risk mitigation experience
- Scalability, performance, and reliability engineering experience
- Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience
- Advanced degree
- Cloud-native data platforms experience
- MLOps practices experience
- Technical documentation experience
- Cross-functional team leadership experience
- Backlog management experience
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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
