Artificial Intelligence Consultant
Avance Consulting · ·
Tech Stack Required
About the Role
Technical Lead AI/ML Full-Time/Permanent Santa Clara, CA / Milford, OH / Atlanta, GA / Naperville, IL / Dallas, TX / Edison,NJ Must Have Technical/Functional Skills • Must have 10+ years of software engineering experience with strong expertise in system design and scalable architecture. • Must have extensive experience in Python, APIs, microservices, and cloud-native application development. • Must have 4+ years of hands-on experience with Google Cloud Platform (GCP), Vertex AI, Gemini APIs, Agent Builder, and AI/ML platforms. • Must have experience designing and delivering enterprise AI solutions using LLMs, RAG, multi-agent systems, and Agentic AI frameworks. • Must have experience leading customer-facing solution architecture, technical consulting, and executive stakeholder engagements. • Must have experience building AI accelerators, reusable frameworks, PoCs, and production-grade AI applications. • Must have expertise in cloud architecture, Kubernetes, containerization, DevOps, CI/CD, and platform engineering. • Must have strong experience in data engineering, vector databases, knowledge retrieval systems, and AI governance. Roles & Responsibilities • Lead the solution architecture and technical strategy for enterprise AI and cloud transformation initiatives. • Engage with customers and business stakeholders to translate business challenges into scalable AI solutions. • Design and oversee the development of AI-powered applications leveraging Gemini, Vertex AI, and Google Cloud services. • Build and drive complex AI architectures involving RAG, Agentic AI, multimodal AI, and enterprise integrations. • Lead technical discovery sessions, workshops, PoCs, and customer demonstrations. • Mentor engineering teams and establish best practices for AI engineering and cloud-native development. • Collaborate with product, engineering, sales, and partner teams to accelerate AI adoption and business outcomes. • Define technical roadmaps, governance standards, and operational models for enterprise-scale AI deployments. • Stay current with emerging AI technologies and apply them to customer scenarios Show more Show less
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