Forward Deployed AI Engineer

Cloud Analytics Technologies, LLC; Dallas (TX); On-site; USD 89,000 - 126,000; Full time

Job summary

Cloud Analytics Technologies, LLC in Dallas, TX seeks an AI Engineer to partner with business teams, embedding within domains to deliver AI-driven automation and measurable outcomes. This role blends hands-on coding, solution architecture, and customer-facing execution to turn AI potential into production value across cloud platforms and enterprise systems.

The ideal candidate has 4–8 years in AI-led engineering or related roles, with strong data-driven problem solving, API/databases experience,

Qualifications

• 4–8 years of AI led engineering, implementation, product, consulting, or customer-facing tech roles.
• AI proficiency is mandatory; candidates may come from software, data science, UX, or related fields with hands-on experience.
• Daily AI tool usage, demonstrable code contributions, and documented token usage.
• Strong analytical thinking and ability to derive AI solutions from data to solve business problems.
• Experience with APIs, databases, cloud services, authentication, integrations, and deployment.
• Experience with Data and analytics platforms; comfortable with structured and unstructured data.
• Experience with GenAI, LLMs, RAG, agents, AI workflow automation, prompt engineering, model integration.
• Cloud experience across AWS, Azure, or Google Cloud.
• Good communication, adaptability, and problem-solving in ambiguous environments.

Responsibilities

• Embed with business and engineering teams to own AI outcomes within a defined business domain.
• Build and deliver AI solutions hands-on; this is an execution role, not an advisory role.
• Convert AI potential into production value through code-first delivery and active repository contributions.
• Understand business processes, pain points, systems, data flows, and success metrics.
• Translate problems into MVPs, integrations, automations, and production-ready solutions.
• Build across APIs, databases, cloud platforms, workflow tools, enterprise systems, and AI/GenAI technologies.
• Own the journey from discovery to working solution, rapidly proving business value through pilots and POCs.
• Integrate with enterprise platforms, data systems, workflows, collaboration tools, and third-party APIs.
• Document architectures, implementation playbooks, reusable components, and customer-specific solution guides.
• Feed field learnings into product roadmap, accelerators, and go-to-market propositions.

Skills

AI engineering

Data analytics

Cloud computing

APIs integration

Problem solving

Tools

Salesforce

Jira

Rally

Oracle

ServiceNow

Microsoft Dynamics

Job description

Cloud Analytics Technologies, LLC in Dallas, TX seeks an AI Engineer to partner with business teams, embedding within domains to deliver AI-driven automation and measurable outcomes. This role blends hands-on coding, solution architecture, and customer-facing execution to turn AI potential into production value across cloud platforms and enterprise systems.

The ideal candidate has 4–8 years in AI-led engineering or related roles, with strong data-driven problem solving, API/databases experience,