GAVS Technologies
Data, Analytics & AI Consultant (Generative AI & Agentic AI Focus)
Location:
Colorado
Employment Type:
Full-Time
About the Role:
We are seeking a strategic, technically proficient Data, Analytics and AI Consultant with deep expertise in Generative AI, Agentic AI, and modern cloud-based data platforms. You will engage with clients to understand business challenges, frame and validate use cases, design and engineer end-to-end solutions, and deliver measurable business impact through Data, Analytics and AI initiatives.
This is a high-impact, client-facing role that blends strategic consulting with hands‑on solutioning, architecture, and delivery.
Key Responsibilities
Collaborate with business stakeholders to understand strategic goals, challenges, and opportunities.
Identify and prioritize use cases where Data, Analytics, and AI can drive tangible business value.
Translate complex business problems into structured, data-driven solutions.
Design end-to-end solution approaches involving Data Engineering, Advanced Analytics, and AI (including Generative and Agentic AI).
Define measurable success criteria, KPIs, and expected business outcomes.
Architect scalable, secure, and cloud-native solutions using modern data and AI platforms (AWS, Azure, GCP).
Integrate traditional analytics and machine learning with emerging Generative and Agentic AI capabilities.
Lead engineering and development of AI/ML and analytics solutions, ensuring scalability, robustness, and security.
Collaborate with data engineers, ML engineers, and software developers to implement production‑grade solutions.
Implement prompt engineering, fine‑tuning, RAG pipelines, agents and orchestration frameworks (e.g., LangChain, Semantic Kernel, AutoGen).
Present solution approaches, technical architectures, and progress updates to clients clearly and business‑aligned.
Provide periodic updates, demos, and post‑delivery support as required.
Required Qualifications
10+ years of experience in data analytics and AI solutioning, including 2+ years in Generative AI and Agentic AI.
Proven experience in client-facing consulting roles, driving discovery and technical delivery.
Expertise in AI/ML, NLP, LLMs (OpenAI, Anthropic, Mistral, LLaMA) and orchestration tools.
Hands‑on experience with cloud platforms (AWS, Azure, GCP) and modern data stack tools (Snowflake, Databricks, Airflow, dbt).
Proficiency in Python and relevant AI/ML libraries (Hugging Face, LangChain, OpenAI SDKs).
Strong knowledge of solution architecture, security, scalability, and integration patterns.
Excellent communication, presentation, and stakeholder management skills.
Preferred Qualifications
Experience with agent frameworks (CrewAI, AutoGen, LangGraph, LangChain, Strands).
Familiarity with MLOps practices and tools (SageMaker, MLflow, Vertex AI, Azure ML).
Experience in regulated industries (finance, healthcare).
Certifications in cloud, data engineering, or AI/ML (AWS ML Specialty, Azure AI Engineer).
Referrals increase your chances of interviewing at GAVS Technologies by 2x.
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Colorado
Employment Type:
Full-Time
About the Role:
We are seeking a strategic, technically proficient Data, Analytics and AI Consultant with deep expertise in Generative AI, Agentic AI, and modern cloud-based data platforms. You will engage with clients to understand business challenges, frame and validate use cases, design and engineer end-to-end solutions, and deliver measurable business impact through Data, Analytics and AI initiatives.
This is a high-impact, client-facing role that blends strategic consulting with hands‑on solutioning, architecture, and delivery.
Key Responsibilities
Collaborate with business stakeholders to understand strategic goals, challenges, and opportunities.
Identify and prioritize use cases where Data, Analytics, and AI can drive tangible business value.
Translate complex business problems into structured, data-driven solutions.
Design end-to-end solution approaches involving Data Engineering, Advanced Analytics, and AI (including Generative and Agentic AI).
Define measurable success criteria, KPIs, and expected business outcomes.
Architect scalable, secure, and cloud-native solutions using modern data and AI platforms (AWS, Azure, GCP).
Integrate traditional analytics and machine learning with emerging Generative and Agentic AI capabilities.
Lead engineering and development of AI/ML and analytics solutions, ensuring scalability, robustness, and security.
Collaborate with data engineers, ML engineers, and software developers to implement production‑grade solutions.
Implement prompt engineering, fine‑tuning, RAG pipelines, agents and orchestration frameworks (e.g., LangChain, Semantic Kernel, AutoGen).
Present solution approaches, technical architectures, and progress updates to clients clearly and business‑aligned.
Provide periodic updates, demos, and post‑delivery support as required.
Required Qualifications
10+ years of experience in data analytics and AI solutioning, including 2+ years in Generative AI and Agentic AI.
Proven experience in client-facing consulting roles, driving discovery and technical delivery.
Expertise in AI/ML, NLP, LLMs (OpenAI, Anthropic, Mistral, LLaMA) and orchestration tools.
Hands‑on experience with cloud platforms (AWS, Azure, GCP) and modern data stack tools (Snowflake, Databricks, Airflow, dbt).
Proficiency in Python and relevant AI/ML libraries (Hugging Face, LangChain, OpenAI SDKs).
Strong knowledge of solution architecture, security, scalability, and integration patterns.
Excellent communication, presentation, and stakeholder management skills.
Preferred Qualifications
Experience with agent frameworks (CrewAI, AutoGen, LangGraph, LangChain, Strands).
Familiarity with MLOps practices and tools (SageMaker, MLflow, Vertex AI, Azure ML).
Experience in regulated industries (finance, healthcare).
Certifications in cloud, data engineering, or AI/ML (AWS ML Specialty, Azure AI Engineer).
Referrals increase your chances of interviewing at GAVS Technologies by 2x.
#J-18808-Ljbffr