AI Solutions Engineer

Anblicks Inc.; Dallas (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Anblicks Inc. seeks a hands-on AI and data leader who can design, build, and deploy production AI systems on modern data platforms while communicating complex concepts to executives.

You will partner with engineering teams, present results to customers, and identify revenue opportunities within existing accounts. This role blends technical leadership with business impact, offering exposure to the end-to-end lifecycle from architecture to revenue.

Qualifications

• Hands-on experience with at least one AI orchestration framework.
• Experience building at least two data platforms.
• At least one AI use case deployed in production.
• Experience with Snowflake and at least one major cloud platform (Azure, AWS, or GCP).
• Strong SQL skills and a solid foundation in data warehousing.
• A practical understanding of the pros and cons of AI engineering.
• Exceptional written and verbal communication skills.
• Exceptional presentation skills, with the ability to adapt your message to technical and non-technical audiences.
• Proven ability to manage multiple priorities in a fast-moving environment.

Responsibilities

• Design, build, and deploy AI use cases and data platforms that solve real business problems
• Lead technical discussions with engineering teams, from architecture reviews to implementation details
• Present solutions, demos, and results to customers and senior stakeholders in clear, business-focused terms
• Weigh the trade-offs of AI engineering, including cost, reliability, accuracy, and risk, and advise on when AI is and is not the right answer
• Identify opportunities to expand revenue within existing accounts and lines of business, and execute strategies to capture them
• Build lasting relationships with customers, partners, and internal teams
• Manage multiple competing priorities and keep delivery on track

Skills

LangChain

Claude SDK

CrewAI

Snowflake

Azure

AWS

GCP

SQL

Data warehousing

Job description

We are looking for a hands-on AI and data leader who can build production systems and also explain them to executives. In this role, you will design and deploy AI solutions on modern data platforms, partner closely with engineering teams, and present to customers and stakeholders. You will also help identify and grow revenue opportunities within our existing business.

What You Will Do

• Design, build, and deploy AI use cases and data platforms that solve real business problems
• Lead technical discussions with engineering teams, from architecture reviews to implementation details
• Present solutions, demos, and results to customers and senior stakeholders in clear, business-focused terms
• Weigh the trade-offs of AI engineering, including cost, reliability, accuracy, and risk, and advise on when AI is and is not the right answer
• Identify opportunities to expand revenue within existing accounts and lines of business, and execute strategies to capture them
• Build lasting relationships with customers, partners, and internal teams
• Manage multiple competing priorities and keep delivery on track

What You Bring

Required

• Hands-on experience with at least one AI orchestration framework (for example LangChain, Claude SDK, or CrewAI)
• Experience building at least two data platforms
• At least one AI use case deployed in production
• Experience with Snowflake and at least one major cloud platform (Azure, AWS, or GCP)
• Strong SQL skills and a solid foundation in data warehousing
• A practical understanding of the pros and cons of AI engineering
• Exceptional written and verbal communication skills
• Exceptional presentation skills, with the ability to adapt your message to technical and non-technical audiences
• Proven ability to manage multiple priorities in a fast-moving environment

Also valued

• A track record of identifying and executing revenue growth strategies within existing business
• A personable, approachable style that makes it easy to start conversations and build trust

Why This Role

You will work at the intersection of engineering, customers, and business strategy, with the chance to see your work move from architecture to production to measurable revenue impact.