What are the responsibilities and job description for the Artificial Intelligence Specialist position at Arkhya Tech. Inc.?
Role: AI Lead
Location: Dallas TX (100% Onsite)
Contract
Role Overview
We are seeking a highly experienced AI Lead to drive the design and delivery of cutting-edge Agentic AI and Generative AI solutions. The ideal candidate will have deep expertise in GenAI architecture, LLM-based systems, and multi-agent workflows, along with strong hands-on experience in Python, API integration and cloud platforms such as GCP.
This role requires a blend of technical leadership, solution architecture, and business understanding, especially around cash flow and billing processes, to build enterprise-grade AI solutions that deliver measurable business value.
Key Responsibilities
- Lead the end-to-end architecture, design, and implementation of Agentic AI and GenAI solutions across enterprise use cases
- Define and implement GenAI architecture patterns, including RAG, LLM orchestration, and multi-agent workflows
- Design and develop agentic AI frameworks involving orchestrator agents, tool usage, reasoning pipelines, and validation layers
- Build scalable AI solutions using LLMs (OpenAI, Gemini, Vertex AI, etc.) integrated with enterprise systems
- Collaborate with business stakeholders to translate cash, billing, and financial processes into AI-driven automation use cases
- Drive AI strategy, roadmap, and governance, including responsible AI, evaluation, and monitoring
- Provide technical leadership and mentorship to AI/ML engineers and architects
- Lead POCs, accelerators, and production deployments of GenAI-based systems
- Ensure performance optimization, cost efficiency, and scalability of AI solutions in cloud environments
- Work closely with data engineering teams for data pipelines, vector databases, and embeddings architecture
Must-Have Skills & Experience
- 12–15 years of total experience with strong exposure to AI/ML and software engineering
- Hands-on experience in Agentic AI projects (multi-agent systems, orchestration, autonomous workflows)
- Deep expertise in Generative AI architecture and LLM-based systems
- Strong programming skills in Python (LLM integrations, frameworks, APIs)
- Strong hands-on experience with Vertex AI and GCP ecosystem
- Expertise in LLM frameworks (LangChain, LangGraph, Semantic Kernel, etc.)
- Experience in building:
- RAG pipelines
- Prompt engineering & context engineering
- Vector database integrations
- Solid understanding of enterprise architecture patterns for GenAI platforms
- Good knowledge of cash flow, billing, and financial business processes
- Experience in designing scalable, production-grade AI systems
Good to Have
- Experience with multi-cloud environments (Azure, AWS, GCP)
- Knowledge of MLOps / LLMOps / GenAI Ops practices
- Exposure to AI governance, security, and compliance frameworks
- Experience with fine-tuning, evaluation frameworks, and observability tools
- Prior experience in client-facing roles or consulting environments
Leadership & Soft Skills
- Strong stakeholder management and communication skills
- Ability to translate complex AI concepts into business outcomes
- Proven experience in leading and mentoring high-performing teams
- Strong problem-solving and decision-making capabilities