Dynamic CRM Developer Gen AI

Role Overview

We are looking for an experienced Microsoft Dynamics CRM / Dynamics 365 Developer with strong expertise in CRM customization, configuration, integration, and Agile delivery. The candidate will be responsible for designing, developing, customizing, integrating, and supporting Dynamics CRM solutions aligned with business requirements.

Key Responsibilities

• Customize and configure Microsoft Dynamics CRM / Dynamics 365 CE based on business requirements.
• Develop and maintain entities, fields, relationships, forms, views, dashboards, business rules, workflows, and business process flows.
• Develop CRM solutions using plugins, custom workflows, JavaScript, Power Automate, and custom APIs.
• Design and implement integrations between Dynamics CRM and external systems using REST/SOAP APIs, Azure services, middleware, and web services.
• Work with CRM security roles, business units, teams, field-level security, and access controls.
• Perform data migration, data validation, and integration-related activities.
• Troubleshoot production issues and provide root-cause analysis and technical fixes.
• Participate in requirements analysis, technical design, development, testing, deployment, and production support.
• Follow development standards, maintain technical documentation, and participate in code reviews.
• Collaborate with functional consultants, business stakeholders, QA teams, and other developers.
• Work effectively within an Agile/Scrum development environment, participating in sprint planning, daily stand-ups, reviews, and retrospectives.

Required Skills

• Strong hands-on experience with Microsoft Dynamics CRM / Dynamics 365 Customer Engagement.
• Good knowledge of CRM customization and configuration.
• Experience with C#, .NET, JavaScript, SQL Server, and Dynamics 365 SDK/API.
• Experience developing plugins, custom workflow activities, Power Automate flows, and JavaScript customizations.
• Strong understanding of Dynamics 365 Web API / REST APIs and third-party integrations.
• Experience with solution management, deployments, and environment management.
• Understanding of CRM data model, security model, and business processes.
• Experience working with Azure integration services is an advantage.
• Good understanding of Agile/Scrum methodologies and SDLC.
• Strong analytical, troubleshooting, communication, and problem-solving skills.

Preferred Qualifications

• Microsoft Dynamics 365 / Power Platform certifications.
• Experience with Power Apps, Dataverse, Power Automate, Azure Functions, Logic Apps, or Service Bus.
• Experience with CI/CD and DevOps practices using Azure DevOps.
• Exposure to Dynamics 365 Sales, Customer Service, Field Service, or related modules.

We are hiring a Microsoft Dynamics 365 Developer to build and customise Dynamics solutions.

Responsibilities

• Customise Dynamics 365 CE/CRM entities, forms and views
• Write plugins and custom workflows in C#
• Build automations with Power Automate
• Integrate Dynamics with other business systems

Requirements

• 2+ years of Dynamics 365 or Dynamics CRM development
• Good C# and Dataverse skills
• Dynamics certification is a plus

🚀 We’re Hiring: Technical Lead– Dynamics 365 CRM

Are you a seasoned Dynamics 365 CRM/CE professional with strong technical leadership and architecture experience?

We’re looking for a hands-on Lead/Architect with 8+ years of relevant experience to lead end-to-end D365 CRM implementations and drive scalable, high-performing solutions.

🔹 Key Skills: Dynamics 365 CRM/CE, Dataverse, C#, .NET, JavaScript

🔹 Expertise: Plugins, Workflows, Customizations, APIs & Integrations

🔹 Azure: Logic Apps, Functions, Service Bus

🔹 ALM: Azure DevOps, CI/CD & Release Management

🔹 Bonus: Experience with D365 FinOps/ERP integrations and Airlines or Freight/Logistics domain

📍 Location: Kochi / Trivandrum

⏱️ Joining: Immediate joiners preferred

If you have the technical expertise, leadership mindset, and passion for delivering enterprise-scale CRM solutions, we’d love to hear from you!

Key Responsibilities

• Build and configure Copilot agents and agentic workflows in Copilot Studio
• Develop integrations using Power Platform, Azure Logic Apps, and REST/APIs
• Integrate Copilot with enterprise systems: Sharepoint, Outlook, Teams, Salesforce, TM1, etc.
• Implement data mapping, transformations, and workflow logic as per architecture
• Collaborate with solution architects to convert design instructions into working solutions
• Write scripts in PowerShell / Python / C# / JavaScript

Required Skills

• Strong hands-on experience with Agent implementation in Copilot Studio, Power Automate, Power Apps, Azure Logic Apps 
• Experience with M365, Dynamics, Azure services
• REST API integration, OAuth2, Azure AD (Entra ID) authentication
• Experience with at least two enterprise integrations: Sharepoint, Outlook, Teams, Salesforce, TM1
• Ability to understand technical diagrams, integration patterns, and solution specs

We are looking for an experienced Microsoft Power Platform Developer with strong expertise in Power Apps, Power Automate, Canvas Apps, and Model-Driven Apps.

Key Responsibilities

Design, develop, and maintain solutions using Microsoft Power Platform.

Develop business applications using Power Apps, including Canvas Apps and Model-Driven Apps.

Create and manage automated business processes using Power Automate.

Work with Microsoft Dataverse for data modeling, configuration, and application development.

Develop integrations between Power Platform and Microsoft 365, third-party applications, APIs, and enterprise systems.

Analyze business requirements and translate them into effective technical solutions.

Customize and configure Model-Driven Apps based on business requirements.

Build responsive and user-friendly Canvas Apps.

Develop complex workflows and approval processes using Power Automate.

Troubleshoot application, workflow, integration, and performance-related issues.

Follow Power Platform best practices for security, governance, performance, and scalability.

Work with development, functional, infrastructure, and business teams to deliver solutions.

Participate in solution design, development, testing, deployment, and production support activities.

Prepare technical documentation, solution design documents, and deployment procedures.

Provide technical guidance and support to junior developers/team members.

Ensure solutions follow enterprise ALM, security, and governance standards.

Must-Have Skills

Microsoft Power Platform

Power Apps

Canvas Apps

Model-Driven Apps

Power Automate

Microsoft Dataverse

Power Platform Development

Enterprise Application Development

Integration & Troubleshooting

Required Skills & Experience

6–9 years of overall IT experience.

Minimum 5 years of hands-on experience in Microsoft Power Platform.

Strong hands-on experience in Power Apps and Power Automate.

Excellent experience developing Canvas Apps and Model-Driven Apps.

Good understanding of Dataverse, connectors, APIs, and integrations.

Experience developing enterprise-level Power Platform solutions.

Strong understanding of application lifecycle management and deployment processes.

Good troubleshooting and problem-solving capabilities.

Ability to understand business requirements and convert them into technical solutions.

Experience working with cross-functional teams and enterprise stakeholders.

Strong communication, documentation, and coordination skills.

Preferred Skills

Experience with Microsoft 365 integrations.

Knowledge of SharePoint Online, Teams, Outlook, and other Microsoft services.

Exposure to Power Platform governance and Center of Excellence practices.

Knowledge of Power Platform security and role-based access.

Experience with Power Platform ALM, solutions, and deployment pipelines.

Exposure to REST APIs and third-party integrations.

Experience working in Agile/Scrum development environments.

Knowledge of Power Platform performance optimization and best practices.

Key Competencies

Strong Power Platform development and technical expertise.

Excellent application design and development skills.

Strong analytical and troubleshooting abilities.

Ability to design scalable and maintainable Power Platform solutions.

Strong understanding of business requirements and technical implementation.

Excellent stakeholder communication and coordination.

Ability to work independently as well as collaborate with technical teams.

Strong ownership and delivery mindset.

Qualifications

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent professional experience.

AI Developer  

Primary Skill-set (Must have) 

• Generative AI Expertise: 2-3 years of experience in designing and implementing generative AI solutions, including knowledge of various generative and autoregressive models. Ability to apply generative AI techniques to diverse use cases such as image generation, text generation, and creative content synthesis. 

• 2 years of experience in prompt engineering, fine tuning, agentic framework, GenAI SDK’s 

• 1-2 years of experience in Agentic AI frameworks like Autogen, Lanngraph, MS Agent SDK, A2A, MCP, A2P, memory concepts, multi agent orchestration 

• 7+ years of experience in Python 

• 5+ years of experience in software development 

• Azure Proficiency: 3-5 years of experience with Azure cloud services relevant to AI, including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Kubernetes Service (AKS). 2+ years of experience in Azure's capabilities to architect end-to-end AI solutions and optimize performance. 

• Architecture Design: 3-5 years of skills with the ability to design scalable, reliable, and cost-effective architectures for AI solutions. Proficiency in designing distributed systems, microservices architectures, and containerized solutions using technologies such as Docker and Kubernetes. 

Secondary Skills (Good to have) 

• Security and Compliance: Understanding of security principles and best practices in AI development, with the ability to implement security controls, encryption mechanisms, and access management policies to protect AI models and sensitive data. 

• Integration and Deployment: Proficiency in implementing CI/CD pipelines, automation scripts, and infrastructure as code (IaC) using tools such as Azure DevOps, Terraform, or Ansible. Experience in containerization and orchestration of AI workloads using Docker and Kubernetes. 

• Software Development: Strong programming skills in languages such as Python, with experience in developing AI applications, RESTful APIs, and microservices architectures. Familiarity with software development methodologies such as Agile or Scrum. 

• Communication and Presentation: Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Experience in preparing and delivering technical presentations, architecture diagrams, and documentation to communicate architectural decisions and design rationale effectively. 

EMBEDDED AI ENGINEERING POD

AI Implementation Engineer Role

Level: AI Implementation Engineer Senior / Advanced - 6+ years

Practice: Wissen GenAI

Locations: Mumbai / Bengaluru / New York - hybrid, embedded with delivery teams

Reports to: EMBEDDED AI PRACTICE Senior AI Engineering Specialist (Architect); Wissen GenAI Program Lead

Embedded inside enterprise delivery teams, you work closely with global, cross-regional teams to turn prioritized GenAI use cases into production software - building, integrating, and hardening Azure-based AI solutions and accelerating adoption within the teams you join.

You deliver production software and help the teams you join work faster.

As an embedded AI Implementation Engineer, you help convert prioritized use cases into shipped, governed, measurable software.

Key responsibilities

1. Build and ship.

Implement GenAI features end to end on Azure - RAG pipelines, agents, APIs, and UI integrations - against enterprise systems and data.

2. Embed and enable.

Work inside the delivery pods: pair with their engineers, remove blockers, and transfer GenAI skills so adoption sticks after you move on.

3. Productionize.

Add evaluation, observability, guardrails, caching, and CI/CD so prototypes become reliable, cost-efficient services.

4. Integrate securely.

Connect to enterprise data with correct access control, secrets management, and compliance with enterprise security standards and handling of sensitive data.

5. Iterate on quality.

Use evaluation results and user feedback to improve grounding, accuracy, latency, and cost.

6. Measure.

Track delivery and quality metrics that roll up to the program's targets.

Must-have qualifications

• 6+ years in software engineering, with 2+ years building GenAI/LLM applications in production.
• Strong Python (incl. async) and Java (the primary enterprise application stack; Spring a plus); solid API and systems design.
• Azure GenAI hands-on: Azure OpenAI, Azure AI Foundry, Azure AI Search for RAG, Azure AI Document Intelligence (IDP), and Prompt Flow.
• Agent frameworks: Microsoft Agent Framework / Semantic Kernel / AutoGen (or LangChain / LangGraph) and tool / function calling.

Preferred

• RAG fundamentals: embeddings, chunking, vector search, reranking, and grounding.
• Data platforms: Snowflake including Cortex AI (Cortex Search, LLM functions) and SQL, for accessing and grounding on enterprise data.
• Prompt engineering as versioned code; building and running evaluations.
• DevOps: Azure DevOps / GitHub Actions, Docker, AKS / Azure Functions, and observability.
• Financial services or other regulated environments.
• Front-end (React) for AI-assisted UX; streaming and token level operations.
• Azure AI Content Safety and responsible-AI practices.
• Certification: Azure AI Engineer Associate.

What success looks like - first 6 to 12 months

• Multiple GenAI features shipped to production within the embedded delivery pods.
• Measurable adoption and productivity uplift in the teams you support.
• Reusable components adopted from the architects' reference framework.
• Clear contribution to faster time-to-market and lower defect rates.

• Strong hands-on experience in Microsoft Azure Cloud.
• Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
• Basic understanding of Azure AI Foundry and AI-related Azure service setup.
• Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
• Strong knowledge of Terraform, especially:
• Terraform state
• plan / apply
• troubleshooting failures
• migration risks
• Terraform Enterprise concepts
• Strong Python coding capability, not just basic scripting.
• Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
• Good understanding of CI/CD pipelines.
• Ability to troubleshoot pipeline failures.
• Comfortable with YAML and JSON.
• Ability to troubleshoot Azure infrastructure/platform issues.
• Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
• Basic awareness of agentic AI / LLM concepts.
• Awareness of security and cost best practices.

Good to Have Skills

• Hands-on experience with Harness.
• Hands-on experience with Terraform Enterprise.
• Exposure to LangGraph / LangChain.
• Exposure to agentic AI workflows or skill creation.
• Exposure to Claude or enterprise LLM integrations.
• Knowledge of Azure ML Workspace, model registry, and managed endpoints.
• MLOps / LLMOps knowledge.
• FinOps / Azure cost optimization experience.
• Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.

Screening Priority:

Azure Cloud + Terraform + Python Coding + CI/CD Troubleshooting + YAML/JSON + Basic Agentic AI Awareness

Job Summary/ Job Opportunity:

This is an excellent opportunity for an ideal candidate with a high level of technical proficiency and meeting the below mentioned criteria -- • Strong experience in Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs). • Hands-on experience building and deploying production-grade solutions using Azure OpenAI, OpenAI, LangChain, LangGraph, Semantic Kernel, LlamaIndex, and Agentic AI frameworks. • Strong expertise in Python, API development, microservices, and cloud-native architectures. • Experience designing and implementing RAG solutions, vector databases, embeddings, knowledge retrieval systems, and AI copilots. • Experience with Azure cloud services, MLOps, CI/CD pipelines, monitoring, and model lifecycle management. • Strong understanding of AI governance, responsible AI, security, compliance, and model evaluation frameworks. • Ability to lead technical discussions, provide architectural recommendations, mentor team members, and interact with business stakeholde

Key Objectives and Major Responsibilities:

• Design, develop, and implement scalable AI/ML and Generative AI solutions for enterprise applications. • Lead development of intelligent applications leveraging LLMs, RAG pipelines, AI agents, and document intelligence solutions. • Collaborate with business stakeholders, architects, and product teams to translate business requirements into technical solutions. • Design and optimize data pipelines, vector search solutions, embeddings, and retrieval mechanisms. • Build and maintain REST APIs, microservices, and cloud-native AI applications. • Ensure best practices in coding standards, performance optimization, security, scalability, and maintainability. • Drive AI solution deployment using MLOps practices, CI/CD pipelines, monitoring, and observability frameworks. • Perform code reviews, mentor junior developers, and contribute to capability building within the team

Key Capabilities and Competencies:

Knowledge, Skills, Qualification and Experience

• Degree in B.Tech/M.Tech (Computer Science/IT/Data Science) or related discipline preferred, with 3–4 years of relevant experience in AI/ML, GenAI and total 5-7 years of experience. • Proficiency in Python and hands-on experience with ML libraries (scikit-learn, TensorFlow, PyTorch) and GenAI frameworks/tools. • Strong understanding of machine learning, deep learning, LLMs, prompt engineering, and techniques like RAG and fine-tuning. • Experience with data processing, embeddings, vector databases, APIs, and building scalable AI driven applications. • Good communication skills, ability to work on multiple projects, and eagerness to learn and adapt to evolving AI technologies. 

As a techno-functional consultant you will be responsible for delivering and optimizing end-to-end solutions on the Dynamics 365 platform by bridging business requirements with technical implementation. The role focuses on configuring and enhancing Dynamics 365 Customer Service and Field Service modules, enabling seamless integration with SAP systems, and supporting multiple Power Pages portals for customers and subcontractors. The objective is to ensure efficient business process execution, secure and scalable integrations, and improved user experience through continuous collaboration with stakeholders, proactive problem-solving, and adherence to best practices and standards.

Tasks & Responsibilities: 

• Bridge the gap between business requirements and technical delivery across D365 Customer Service and Field Service
• Contribute to functional workshops, requirement gathering sessions, and solution design discussions with business stakeholders
• Good to have basic process understanding of SAP system.
• Configure D365 modules and implement light customizations — plugins, custom APIs, JS/TS, and Power Automate flows
• Design end-to-end solutions covering data model, SLAs, entitlements, and integrations
• Support UAT, produce functional specification document, and ensure solutions align with Microsoft best practices
• Training delivery and end-user adoption support post go-live
• Understanding of Model-Driven App design including entities, forms, views, dashboards, security roles etc.
• Strong client relationships to engage business and technical audiences equally
• Prepare and maintain key project documentation including Functional Specification Documents (FSD), Solution Design Documents (SDD), business process flows, and UAT documents
• Create and manage user stories, acceptance criteria, and test cases in Azure DevOps, ensuring traceability and alignment with business requirements

Education & Trainings + Certifications:

• At least 6 to 8 years of relevant experience in Dynamics 365, Field Service, Power Pages.
• Proven expertise with Dynamics 365 functional area, documentations, design, development, end-to-end implementations and solutions.

Technical know-how: 

• Strong understanding of Dynamics 365 Customer Service and Field Service modules, including case management, SLAs, entitlements, work orders, and scheduling
• Hands-on experience with Microsoft Dataverse, including entity design, relationships, forms, views, business rules, and security model
• Working knowledge of Model-Driven App development and customization
• Ability to implement light customizations using C#, .NET plugins, custom workflows, Web APIs, JavaScript/TypeScript
• Experience with Power Platform tools including Power Automate and basic exposure to Power Pages (portal configuration and customization)
• Good understanding of integration concepts, including REST/SOAP APIs and experience integrating D365 with external systems (preferably SAP)
• Experience with Azure DevOps for managing user stories, test cases, backlog, and release tracking
• Understanding of software development lifecycle (SDLC), Agile methodology, and UAT processes
• Knowledge of documentation standards including FSD, SDD, use cases, and business process mapping
• Good understanding of security concepts including role-based access, data security, and portal authentication mechanisms 

Soft Skills:

• Good team player skills to be able to work within a global team with shared global responsibilities
• Strong service orientation
• Solution-oriented and structured way of working
• Friendly, communicative and team-oriented player
• Business fluent English skills, spoken and written
• Intercultural competence