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Avance Consulting · Dallas, TX

Artificial Intelligence Consultant

seniorfull timePosted 8 days ago
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Stack mentioned

artificial-intelligencesystem-designpythonmicroservicesgcpgeminillmragagentic-aikubernetesdevopsci/cddata-engineeringvector-databasesai-safety

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

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