Solution Architect Generative Ai

Location:

San Diego, CA

Posted:

September 16, 2025

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Resume:

AJIT DASH

P R O F E S S I O N A L S U M M A R Y

Hands-on technology professional and Data-AI engineering solution architect/Solution Engineer with 25 years of expertise in Data & AI, Cloud Transformation, automation with marketing, GTM, and Enterprise Architecture. Proven track record in designing and deploying production-grade AI/ML systems, scalable SaaS/PaaS platforms, and cloud-native data architectures across Fortune 500 companies. Expert in GenAI enablement, full-stack solution delivery, and aligning IT strategy with business outcomes. Led $100M+ global portfolios, driving innovation through intelligent automation, advanced analytics, and real-time data platforms. Known for building high-performing engineering teams, agile team management, delivering reusable accelerators, and executing high-impact GTM strategies that translate vision into scalable solutions. Recognized thought leader, frequently publishing on the future of AI, data strategy, and enterprise technology transformation. Core Competencies

• Technology Strategy AI/Generative AI Agentic AI Cloud & Digital Transformation Data Engineering Block Chain Web3

• Enterprise Architecture Data Monetization SaaS & PaaS Development Product Strategy Pre-Sales Sales Engineer POC’S

• Team Leadership & Development Go-to-Market Execution Budget Management

(>$100M) Agile Team Management

• Data Lake Data Warehouse Delat Lake Lake House Governance & Analytics E X P E R I E N C E

Chief Architect/Solution Engineer– Gen AI, Agentic, Data & Analytics Red Legend Capital San Diego March 2024 - Current

• Leading key initiatives for Microsoft and clients like Coinbase, Verizon, NVIDIA, SOFI, Cigna & Walmart by architecting scalable solutions that drive business impact. Own solution engineering, architect, pre-sales, and technical strategy. Partner cross- functionally and with executives to ensure seamless delivery & adoption.

• Leading the Generative AI, Agentic AI, Data, Analytics and Digital Transformation portfolio with a global team, driving enterprise AI adoption and supporting strategic initiatives as a Solution Architect/ Engineer alongside the sales & solution team.

• Partnering with C-level executives on Generative AI, Agentic AI, Data Lake, Lake House, Digital Transformation leading workshops to address gaps and opportunities.

• Developing enablers and accelerator tools using Generative AI, enhancing data pipelines, insights, and analytics to drive better business decisions.

• Driving GenAI enterprise enablement and automation across multiple business units through bot services, data pipeline integration, agentic AI workflows,

• Enabled DeFi risk analytics and automated Web3 workflows for Coinbase and Kraken, leveraging blockchain infrastructure with Generative and Agentic AI.

• Developed Digital Assistance Automation using agentic AI for Salesforce, ServiceNow, and Oracle Marketing Cloud, optimizing operational workflows.

• Automated recruitment, fraud detection, waste prevention, JIRA test cases, suggestion engines, and chatbots using AI, Agentic AI, and GenAI.

• Consulting on AI-driven strategies, pre-sales initiatives, and go-to-market frameworks across diverse industries.

Technologies: Azure, Azure OpenAI, LLaMA2, Gemini, Co-Pilot Studio, Lang Chain, Azure Cognitive Service, PowerApps, Vector DB, TensorFlow, Hugging face, Cosine Model, Power BI, Data Fabric, Azure Synapse Analytics, Databricks, Snowflake, Data Pipe, Data Mesh, Data Warehouse, Data Lake, Lake House, Delta Lake, DBT, Block Chain, Defi, Web3 etc. C O N T A C T

858-***-****

****.****@*****.***

San Diego, USA 92126

Blog: dataaionline.com

E D U C A T I O N

Master of Management

General Management

Harvard University, USA

January 2010

Master of Science

Computer Information Systems

University of Phoenix, USA

January 2002

Bachelor of Science

Electrical Engineering

Amravati University, India

January 1996

Diploma in Engineering

Electrical Engineering

PVP Polytechnic, India

January 1992

C E R T I F I C A T I O N S

Microsoft Certified Solution Architect

Principal Solution Architect /Solution Engineer– Data, Analytics & AI Microsoft San Diego June 2022 – Oct 2023

• Managed a portfolio of 30+ enterprise accounts worth $100M annually within Microsoft's

$10B Health Tech business unit.

• Developed AI-driven product enhancements as part of broader digital transformation efforts to address customer pain points, resulting in a 30% increase in adoption rates.

• Partnered with product groups to design new features, improving customer satisfaction and retention.

• Led Generative AI implementations for Salesforce, Oracle, and ServiceNow, reducing inefficiencies by 20%.

• Extensive experience in healthcare industry, expertise in OpenAI, Azure Open AI- Generative AI, Synapse Analytics, Health Care Analytics, and Azure FHIR Services

• Drove product and GTM strategies with Product, Engineering, and cross-functional teams using Azure OpenAI, Cognitive Services, Databricks, Synapse, ADF & Power BI

• Delivered GenAI solutions for Fraud/Waste/Abuse, code conversion, image analysis, doc search, hallucination, token optimization, prompt engineering, and fine-tuning.

• Leveraged Delta Lake, Lake House, data mining and quantitative analysis to align product enhancements with business goals and accelerate growth.

• Led GenAI solution design to automate campaign targeting, content generation, and funnel tracking for GTM teams, increasing conversion rates by 25%.

• Built and managed high-performing teams aligned with organizational goals, ensuring customer success.

• Established a Data & AI Community, publishing insights to boost AI adoption by 25% across internal teams.

• Delivered AI-powered solutions for fraud detection, predictive analytics, and automation, improving efficiency.

Key Achievements:

• Increased client satisfaction by 35% and drove $20M in incremental revenue with tailored AI-driven solutions.

• Delivered a 98% project success rate, optimizing processes and enhancing customer retention.

Thermo Fisher Scientific San Diego April 2021 - June 2022

• Led Digital & Cloud Transformation initiatives, implementing Data Lake and Data Mesh frameworks.

• Managed a global 17-member team and an $11M annual budget to deliver advanced analytics solutions.

Technologies: AWS, Azure, Snowflake, Databricks, Tableau, Hadoop Sr Director -Chief Architect/Solution Engineer-Data & Analytics LTI Mindtree San Diego June 2015 - April 2021

• Worked with high-profile clients including AT & T, Verizon, Time Warner, Fox, NBC, Apple, J & J, Merck and Google, delivering strategic Data, AI, and Digital Transformation solutions that drove impactful business outcomes.

• Managed an $80M+ budget and a 23-member team, driving operational excellence and aligning solutions with client business goals.

• Designed and deployed 5 Data Lakes,2 Lake House,2 Delt Lake and 6 Data Warehouses, enabling seamless cloud migrations to AWS, Azure, and Snowflake.

• Delivered governance frameworks, AI/ML roadmaps, and advanced analytics solutions that optimized client operations and enhanced decision-making. Technologies: AWS, Azure, Snowflake, Snow pipe, Databricks, Unity Catalog, Powe BI, Tableau

B O O K A U T H O R

http://amazon.com/author/ajitdash

Step By Step Guide for OpenAI and

Azure OpenAI (Published 2023)

The Step-by-Step Guide for

Successful Implementation of Data

Lake-Lakehouse-Data Warehouse

(Pub 2021)

FHIR Data Solutions with Azure FHIR

Server for FHIR & AZURE Health Data

Services (Published 2022)

Urban Monk – How to Manage

Professional life in Urban World:

Under publication.

T E C H N I C A L S K I L L S

RDBMS: ORACLE, SQL Server 2012, T-

SQL, DB2, Postgres, MySQL

ERP: PeopleSoft, SAP BI 7.0, SAP

Material Management, SAP BDW,

BANN, and PROLOG Manager 6.5,

7.0 BIG DATA &

Cloud/SaaS: Big Query, Cloud

Computing, Amazon Elastic, AWS,

EMR, Snowflake, Redshift, S3,

Spectrum, Azure, Stream Analytics,

Blob, Azure HDInsight, Cosmos DB,

DynamoDB, Time Series,,Vector DB,

Chroma, Pinecone, HADOOP 2.x

Hive/Pig, HBase, MAPR, Salesforce,

Service Now

AI: Machine Learning, AI, Generative

AI, Agentic AI, Azure OpenAI,

Gemine, Claud Anthropic, LlaMa

and R, etc.

Process & Report:

ETL/ELT Inforrmatica, Snow

pipe,Cortex, ADF, Talend, FiveTran

Reporting Tools Tableau 9.0, Looker,

Business Objects XI, OBIEE, MS

Reporting Services, Power BI, SAS BI

Suite

Sr. Technical Manager, BI & Enterprise Architecture Bridge Point Education San Diego December 2012 - March 2015

• Oversaw a 30TB Data Warehouse, delivering executive dashboards and actionable insights.

• Developed governance strategies and integrated Tableau and Hadoop for advanced analytics.

Technologies: SQL Server, SSIS, Oracle, Tableau, SAS BI, Big Query, Hadoop(MapR), Hive/Pig, HBase, Kylin, Python, Ganglia.

Sr.Technical Manager BI & Architect

AT&T San Diego January 2011 - December 2012

• Managed a 20+TB data warehouse and optimized data migration and reporting processes.

• Delivered agile ETL migrations and integrated EDW with Hadoop.

• Managed team 14 team members and external customer's reporting requirements Technologies: Informatica, OBIEE, SQL Server, Hadoop Consultant Solution Architect Manager

IBM Global Business Services, USA San Diego January 2010 - January 2011

• Directed BI architecture for NetApp, managing 20+ team members to deliver projects on time and within budget.

• Designed data pipelines and governance models for large-scale integration projects. Technologies: DataStage, OBIEE, Oracle, SAP BI

Principal Consultant -Data Warehouse Architecture

Qualcomm Inc San Diego May 2007 - March 2009

• Played a critical role in data conversion projects, including PeopleSoft to SAP migrations.

• Designed schemas using ERWIN and developed forecasting reports with Crystal Reports. Technologies: Oracle, Peoplesoft, Crystal Reports

Sr. Commercial Analytics Analyst

Prometheus Labs January 2002 - May 2007

• Architect the Data warehouse projects

• Designed high-volume bioinformatics data flows and managed data marts

• Enhanced reporting through optimized stored procedures and T-SQL tuning.

• Led the four team members.

Technologies: SQL Server, Crystal Reports

Sr. Programmer Analyst

Qualcomm & Ericsson San Diego January 1998 - January 2002

• Played a key role in data conversion projects from QBS to EBS and PeopleSoft to SAP.

• Developed stored procedures and triggers using PL-SQL and T-SQL to optimize reporting. Technologies: Oracle, SQL Server, SAP

Software Engineer

General Electric Fanuc Singapore June 1996 - January 1998

• Worked as consultant for General Electric, Fanuc, Singapore

• Responsible for the creation of the database triggers and procedures using SQL/ PLSQL Technologies: SQL, PL-SQL

Virtual Language & O/S: Java, C++,

Python, Windows XP, UNIX, Windows

2000, and Linux

Web Service: TIBCO

B L O G

dataaionline.com

BOOK AUTHOR

http://amazon.com/author/ajitdash

• Step By Step Guide for OpenAI and Azure OpenAI (Published 2023)

• The Step-by-Step Guide for Successful Implementation of Data Lake- Lakehouse- Data Warehouse (Pub 2021)

• FHIR Data Solutions with Azure FHIR Server for FHIR & AZURE Health Data Services

(Published 2022)

• Urban Monk – How to Manage Professional life in Urban World: Under publication. P U B L I C A T I O N S

• DeepSeek: The AI Revolution Redefining Technology and Challenging Industry Titans, 2024

• The AI-Powered Shield: How Generative AI is Revolutionizing Cybersecurity, 2024

• Unlocking the Power of Tokens: Optimizing Token Usage in GPT for Efficient Text Processing, 2023

• How to Secure Azure OpenAI Keys Using Environment Variables, Azure Vault, and Streamlit, 2023

• Integrating Azure OpenAI with Streamlit: With Example Source Code Explainer, 2023

• AHDS-DICOM Service for diagnosis of diseases & development of treatment plans, 2023

• Forecasting AI/Generative AI /LLM: An Analytical Journey through Growth Strategies

(2024-2030), 2024

• Data Grading, Quality Assurance, and Optimization: Leveraging Generative AI, 2023

• Minimize Rx Error Using Generative AI, 2023

• Data Mesh -Data as A Product, 2021

• Data Grading -How to clean the source data, 2021

• Zombie Data- Useful in data analytics, 2021

• COVID-19- World passport architecture, 2020

• Go-to-Cloud Strategy and Monetization, 2017

A C H I V E M E N T S

• Harvard University: Best project concept award for Physically Challenged people in Healthcare Management: 2010

• Massachusetts Institute of Technology- MIT : Entrepreneurship Contest: Presented Business concept for the physically challenged people

• Amravati University: University 9th Rank out of 2000 Engineers, Selected for presidential scholarship

Teaching:

Adjunct Faculty at National University Teaches Subjects related to AI G I T C O D E B A S E & C E R T I F I C A T I O N

https://github.com/ajitdash/pview

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