GAVS Technologies
Data, Analytics & AI Consultant (Generative AI & Agentic AI Focus)
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 be responsible for engaging with clients to understand their business challenges, framing and validating business use cases, designing and engineering end-to-end solutions, and delivering measurable business impact through Data, Analytics, and AI initiatives.
Key Responsibilities
Collaborate with business stakeholders to understand their 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 components).
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, etc.).
Integrate traditional analytics and machine learning approaches with emerging Generative and Agentic AI capabilities.
Lead the 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, etc.) as needed.
Client Communication & Reporting
Present solution approaches, technical architectures, and progress updates to clients in a clear and business-aligned manner.
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 business discovery and technical delivery.
Expertise in AI/ML, NLP, LLMs (OpenAI, Anthropic, Mistral, LLaMA, etc.), and orchestration tools.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and modern data stack tools (e.g., Snowflake, Databricks, Airflow, dbt).
Proficiency in Python and relevant AI/ML libraries (e.g., 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 (e.g., CrewAI, AutoGen, LangGraph, Lang Chain, Strands).
Familiarity with MLOps practices and tools (e.g., SageMaker, MLflow, Vertex AI, Azure ML).
Experience in regulated industries (finance, healthcare, etc.) is a plus.
Certifications in cloud, data engineering, or AI/ML (e.g., AWS ML Specialty, Azure AI Engineer).
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Data, Analytics, and AI Consultant
with deep expertise in
Generative AI ,
Agentic AI , and modern
cloud-based data platforms . You will be responsible for engaging with clients to understand their business challenges, framing and validating business use cases, designing and engineering end-to-end solutions, and delivering measurable business impact through Data, Analytics, and AI initiatives.
Key Responsibilities
Collaborate with business stakeholders to understand their 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 components).
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, etc.).
Integrate traditional analytics and machine learning approaches with emerging Generative and Agentic AI capabilities.
Lead the 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, etc.) as needed.
Client Communication & Reporting
Present solution approaches, technical architectures, and progress updates to clients in a clear and business-aligned manner.
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 business discovery and technical delivery.
Expertise in AI/ML, NLP, LLMs (OpenAI, Anthropic, Mistral, LLaMA, etc.), and orchestration tools.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and modern data stack tools (e.g., Snowflake, Databricks, Airflow, dbt).
Proficiency in Python and relevant AI/ML libraries (e.g., 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 (e.g., CrewAI, AutoGen, LangGraph, Lang Chain, Strands).
Familiarity with MLOps practices and tools (e.g., SageMaker, MLflow, Vertex AI, Azure ML).
Experience in regulated industries (finance, healthcare, etc.) is a plus.
Certifications in cloud, data engineering, or AI/ML (e.g., AWS ML Specialty, Azure AI Engineer).
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