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AI Technical Architect

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DigitalAPICraft Corporation

Alpharetta, GA (In Person)

Full-Time

Posted 3 days ago (Updated 1 day ago) • Actively hiring

Expires 6/17/2026

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Job Description

We are looking for a highly skilled and hands-on AI Technical Lead to design, build, and scale AI/ML solutions. This role requires a balance of deep technical expertise , architecture ownership , and team leadership , with active involvement in coding, model customization, and deployment. Responsibilities Design endtoend architecture for AI applications: data ingestion, retrieval, orchestration of language models and agents, APIs, and integration with existing systems. Build production chatbots, copilots, and workflow agents that use language models plus internal tools/APIs to complete tasks. Implement RAG pipelines, including document preprocessing, chunking, embeddings, and vector-based or hybrid retrieval over internal data. Develop and refine prompts (system messages, examples, toolcalling instructions) and multi-step agent flows for specific business use cases. Expose AI capabilities through secure, reliable backend services and integrate them with web applications, internal portals, or messaging platforms. Evaluate and monitor AI systems and iterate based on metrics and user feedback. Collaborate with product managers and domain experts to define use cases and deliver measurable business impact. Required qualifications 10-15+ years of software engineering experience, including 2-3+ years building production LLM/GenAI applications. Strong Java/ and backend engineering skills; experience designing, implementing, and operating APIs or microservices in production environments. Hands-on experience integrating large language models via APIs and building applications that combine them with enterprise data and tools. Practical experience designing and implementing RAG systems and agentic workflows to automate knowledge-intensive or operational processes. Experience deploying and operating AI services on at least one major cloud platform (such as Azure, AWS, or Google Cloud Platform). Ability to communicate clearly with technical and non-technical stakeholders and to lead technical decisions for AI solutions

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