Pre-Sales Solution Architect

MotivityLabs · Hyderabad

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Last observed by our collector: 9 October 2026 at 1:08 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: ML021

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Collected role description

Location: WFO-Motivity Labs-Hyderabad Job Type: Full-time Experience Level: 10+ years Industry: IT Services, Consulting, Enterprise Data & AI Solutions Role Overview: As a Pre-Sales Solution Architect – Data & Analytics, you will play a pivotal role in shaping data-driven solutions for enterprise clients. You will leverage your deep expertise in modern data platforms, Generative AI, and Traditional AI to craft cloud-agnostic solutions that drive business transformation. You will be responsible for engaging with customers, understanding their pain points, and designing scalable and future-proof data & AI architectures across AWS, Azure, and GCP. Key Responsibilities: 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. Data & AI Architecture Expertise: - 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. Thought Leadership & Market Trends: - 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. Sales Enablement & GTM Strategy: - 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. Key Qualifications & Skills: Technical Skills: - Cloud Expertise (Multi-cloud, Cloud-native solutions): AWS, Azure, GCP. - Data & AI Engineering: Data pipelines, ETL, real-time processing, MLops, AI workflows. - Gen AI & LLMs: LangChain, OpenAI, Hugging Face, Fine-tuning models, Vector DBs. - Database & Storage: Snowflake, BigQuery, Delta Lake, NoSQL (CosmosDB, DynamoDB). - DevOps & Automation: Terraform, CI/CD, Kubernetes, Serverless computing. - Security & Compliance: Data encryption, GDPR, HIPAA, SOC2, access controls. Soft Skills: - Strong pre-sales & consultative approach with the ability to convert business needs into technical solutions. - Excellent presentation & communication skills to engage senior stakeholders. - Ability to work in a fast-paced, customer-focused environment with strong problem-solving skills. - Strong collaboration with cross-functional teams including sales, product, and delivery. Preferred Qualifications: - 10+ years of experience in Data & AI architecture, solutioning, and pre-sales. - Deep expertise in modernizing legacy data platforms to cloud-native solutions. - Prior experience in IT services, consulting, or enterprise architecture roles. - Experience with RFP responses, PoCs, and technical solutioning for enterprise clients. Why Join Us? - 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. Competitive compensation, career growth, and a chance to work with a talented team. Please share your references to Talent@motivitylabs.com / referrals@motivitylabs.com

Collected experience requirement

10+ Years