Solutions Engineer

• Design, build, and maintain API integrations between business systems.
• Create reliable automated workflows and synchronization processes.
• Develop monitoring, alerting, and reconciliation processes to ensure integrations remain operational.
• Identify and resolve data quality issues across multiple systems.
• Support the development of a centralised data warehouse and reporting environment.
• Build dashboards and reports that enable better business decisions.
• Automate recurring operational and finance processes.
• Work directly with business stakeholders to gather requirements and deliver solutions.
• Build AI-assisted workflows where they provide measurable business value.
• Produce clear technical documentation and maintain supportable solutions.

Data & Integration Engineer – AI & Automation

• Build, test, deploy, and operate AI-powered workflows, agents, and automations within Salesforce, Microsoft 365, Azure AI, and Copilot
• Implement prompt logic, orchestration flows, tool calling, and context retrieval for LLM-based systems
• Translate approved AI solution designs into scalable, maintainable, and secure implementations
• Ensure AI solutions are production-ready, observable, resilient, and aligned with business outcomes
• Design and maintain LLM evaluation frameworks for accuracy, relevance, consistency, and impact
• Implement offline and online evaluations using test datasets, golden answers, regression suites, feedback loops, telemetry, and behavioral signals
• Define evaluation thresholds, quality gates, and launch-readiness criteria
• Design hallucination-reduction strategies using RAG, context filtering, grounding, citations, guardrails, validation, and response constraints
• Monitor AI outputs, confidence signals, and failure modes in live environments
• Investigate incorrect or low-confidence outputs and implement corrective improvements
• Define and instrument metrics covering quality, adoption, latency, reliability, and operational or revenue impact
• Build telemetry connecting AI usage to cycle-time reduction, capacity unlocked, and risk reduction
• Implement context pipelines using structured data, documents, and governed knowledge assets
• Enforce data quality, access controls, grounding standards, and versioning
• Support documentation, testing, auditability, change management, privacy, security, and responsible AI requirements
• Collaborate with Product Managers, AI Solutions Architects, Systems teams, analytics teams, and GTM stakeholders
• Support enablement, adoption, reviews, retrospectives, and continuous post-launch improvement

AI Solutions Engineer

• Design and deliver end-to-end Salesforce solutions aligned with business requirements
• Lead CPQ and Revenue Cloud / Revenue Cloud Advanced implementations
• Design solutions for product configuration, pricing, orders, amendments, renewals, and subscriptions
• Develop and review solutions using Apex, LWC, integrations, and Salesforce configuration
• Drive solution architecture, technical design, scalability, and best practices
• Collaborate with business stakeholders, architects, and delivery teams
• Provide technical leadership, mentoring, and support for complex implementations
• Support CI/CD and deployments using Gearset, GitHub, Azure DevOps, or similar tools

Business Solutions Engineer III

• Work with partners to accelerate new customer acquisition
• Enable partners to market, sell, implement, and support Akamai solutions independently
• Conduct training and enablement workshops for partner sales, pre-sales, and architect teams
• Define partner-specific enablement plans based on Akamai and partner sales strategies
• Collaborate with Channel Sales to manage partner progress and success against enablement plans
• Engage in quarterly partner reviews
• Advocate partner needs with product, marketing, and services teams
• Mentor partners throughout the sales process
• Serve as a technical evangelist supporting adoption of Akamai products and services
• Demonstrate solution value and help close sales

Senior Partner Solutions Engineer

• Work directly with enterprise customers as a trusted technical advisor
• Understand customer business and technical requirements and translate them into scalable data architectures
• Design and implement modern Lakehouse / Data + AI architectures using Databricks
• Develop and guide POCs, technical workshops, and architecture demonstrations
• Work extensively with Apache Spark / PySpark, SQL, and Databricks
• Design scalable data ingestion, transformation, and processing pipelines
• Work with Delta Lake, Unity Catalog, and Databricks platform capabilities
• Support data migration and modernization initiatives
• Integrate Databricks with AWS, Azure, or GCP
• Troubleshoot performance, scalability, reliability, and data pipeline issues
• Work with customer engineering, data science, architecture, and leadership teams
• Provide technical recommendations around data engineering, analytics, ML/AI, and cloud architecture
• Create reference architectures, technical documentation, and implementation guidance
• Support production deployment and adoption of Databricks solutions
• Conduct technical workshops, enablement sessions, and knowledge-sharing activities

Resident Solution Architect

• Architect single-agent, multi-agent, and orchestrator/worker AI systems for autonomous and semi-autonomous Digital Office and business workflows
• Design solutions using modern agentic frameworks such as Microsoft Agent Framework, Semantic Kernel, LangChain / LangGraph, AutoGen, and Google Agent SDK
• Define agent capabilities, tool/function calling contracts, memory strategies, planning and reflection loops, and inter-agent communication protocols such as MCP and A2A
• Own end-to-end architecture spanning data ingestion, retrieval, RAG, GraphRAG, hybrid search, model selection, agent orchestration, integration, and serving
• Produce solution blueprints, agent topology diagrams, sequence flows, API/tool contracts, and non-functional requirement specifications
• Drive build-vs-buy decisions and evaluate vendor/hyperscaler offerings against Nokia standards
• Ensure alignment with Nokia enterprise architecture, security, identity, data-protection, and integration standards
• Define reusable architectural patterns and reference designs for agent-based IT/Digital Office solutions
• Provide hands-on technical leadership across multiple initiatives and mentor GenAI engineers and platform developers
• Set coding, model, prompt, agent, and AgentOps standards; champion responsible AI, evaluation rigor, and observability
• Establish AgentOps / LLMOps practices including CI/CD, A/B testing, trajectory and trace analysis, drift and quality monitoring, retraining, and decommissioning

AI Solution Architect

• Collaborate with business stakeholders, solution engineers, architects, and Agile teams to deliver Guidewire configuration and integration solutions
• Serve as a subject matter resource for the Guidewire platform
• Provide system-level perspectives and implement technical solutions aligned with business and architectural objectives
• Optimize Guidewire configuration
• Build reliable integrations using APIs and messaging frameworks
• Improve development and deployment processes through CI/CD and DevOps practices
• Ensure successful technology delivery across lines of business and the enterprise
• Participate in Agile and SAFe ceremonies, including PI Planning, Sprint Planning, backlog refinement, daily stand-ups, system demos, and retrospectives
• Deliver committed sprint and PI objectives

Senior Solutions Engineer, Guidewire

• Design, develop, and deploy interactive Power BI dashboards and reports
• Translate business requirements into visualizations and KPIs
• Create executive, operational, and analytical reporting solutions
• Develop drill-through, drill-down, and self-service BI capabilities
• Build scalable star and snowflake schema data models
• Develop complex DAX measures, calculated columns, and KPIs
• Perform data transformation using Power Query (M Language)
• Integrate data from SQL databases, cloud platforms, APIs, and flat files
• Manage Power BI Service workspaces, datasets, gateways, and refresh schedules
• Implement row-level security and governance standards
• Monitor report performance and optimize dataset refreshes
• Support deployment pipelines and release management
• Collaborate with stakeholders to define KPIs and reporting requirements
• Deliver actionable insights through data storytelling and visualization best practices
• Perform data validation and quality assurance across reporting solutions
• Conduct regular system audits to ensure compliance with established standards and protocols

Business Solution Architect

• Architect, design, and develop scalable, reliable, and performant data platforms and solutions
• Lead the design and implementation of data pipelines and ETL processes
• Drive strategy and implementation for data warehousing, data lakes, and data governance
• Define data strategies and leverage current data handling and analytics technologies
• Ensure adherence to Master Data and Data Quality best practices
• Oversee data models and designs for Microsoft BI, Tableau, Qlik, and SAP reporting solutions
• Collaborate with AI/ML teams to prepare and model application data for analytical needs
• Research, recommend, and integrate new data technologies and tools
• Collaborate with cross-functional teams to align data solutions with company needs and architectural best practices
• Mentor junior data engineers and architects
• Advocate for cloud technology best practices and optimize AWS and Azure environments
• Design data solution components including models, technical documentation, data diagrams, and data dictionaries
• Lead domain-specific analytics data solutions
• Develop standards, architectural governance, design patterns, and practices
• Work with product owners, business stakeholders, and management
• Optimize data architecture for data warehouse consumption, utilization, and analytics
• Analyze data patterns and optimize data processing
• Recommend technology, process, and architecture improvements
• Prototype rapidly while following disciplined software development processes
• Communicate trends related to data technologies

Principal Solutions Architect – Data, Advanced Analytics

• Shape solutions, lead client engagements, and support the sales cycle through technical expertise, innovation, and proactive sales activities across ServiceNow and Freshworks
• Collaborate with SE, CE, CDE, and CTO organisations to develop and execute account strategies
• Identify, qualify, and nurture new business opportunities
• Create pursuit kits to support sales engagements and drive pipeline growth
• Develop and deliver repeatable Proof of Value engagements and product demonstrations
• Design and implement accelerators across ServiceNow, Freshworks, and EasyVista
• Create migration playbooks for transitions from ServiceNow, BMC Helix, and Cherwell
• Own and complete RFP responses
• Draft Statements of Work for client projects
• Lead technical workshops, solution shaping, and pricing with clients
• Participate in marketing events, webinars, and industry forums
• Build and maintain client relationships as a trusted advisor
• Provide client and market feedback to product and marketing teams
• Oversee project execution by the ESS delivery organisation

Solutions Engineer jobs in India