Pre-Sales Solution Architect

Pre-Sales Solutioning:

• Collaborate with sales, engineering, and business teams to

  drive pre-sales engagements

  for Data AI solutions.
• Lead

  client discovery sessions

  , assess business needs, and align solutions with customer objectives.
• Architect

  modern data platforms

  for

  data modernization, analytics, and AI/ML workloads

  across multi-cloud environments.
• Design solutions integrating

  Gen AI, LLMs, RAG, NLP, and Computer Vision

  with traditional AI/ML models.
• Create compelling

  proposals, PoCs, demos, and technical collateral

  for client engagements.
• Present technical solutions to

  C-level executives, IT leaders, and business stakeholders

  .

• Architect

  cloud-agnostic

  data platforms on

  AWS, Azure, and GCP

  , leveraging:

  • Data Lakes Warehouses:

    Snowflake, BigQuery, Databricks, Synapse, Redshift.

  • ETL Data Integration:

    dbt, Apache Airflow, Azure Data Factory, Glue, Dataflow.

  • AI ML:

    Vertex AI, Azure ML, Sagemaker, MLflow, LangChain, OpenAI API.

  • Gen AI LLMs:

    RAG-based architectures, vector databases (Pinecone, ChromaDB, FAISS).

  • Streaming Event-driven Architectures:

    Kafka, Kinesis, Event Hub.

  • Data Governance Security:

    IAM, RBAC, Purview, Data Catalogs, Data Mesh principles.

• Stay ahead of industry trends in

  Data AI

  , cloud technologies, and platform modernization.
• Conduct

  workshops, webinars, and technical deep dives

  for customers and internal teams.
• Collaborate with marketing teams to create

  whitepapers, blogs, and case studies

  on AI-driven data solutions.

• Define

  go-to-market (GTM) strategies

  for Data AI offerings.
• Work with account teams to

  identify qualify new opportunities

  and contribute to revenue growth.
• Support

  RFP responses, pricing strategies, and competitive differentiation

  .

• Opportunity to work on

  cutting-edge AI-driven data solutions

  in a cloud-agnostic environment.
• Be a

  trusted advisor

  to enterprise clients, shaping their Data AI transformation journey