Senior Software Engineer-MS Dynamics

Minimum Required Experience : 8 years

Full Time

Skills

Business Analysis

Copilot Ai

Effective Stakeholder Management

Llms Models

Description

Job Description: AI Product / Solution Consultant (Business–AI Bridge)

Role Overview

We are seeking a self-driven AI Product / Solution Consultant to play a key role as a bridge between business stakeholders and AI engineering teams, driving AI use cases from evaluation through execution with strong alignment to business value and governance.

Key Responsibilities

Evaluate and qualify AI use cases based on feasibility, value, and data readiness

Engage with business stakeholders to define and structure problem statements

Play a key role as the interface between business and AI engineering teams

Translate business needs into AI solution approaches

Drive end-to-end use case shaping from discovery to POC readiness

Define solution approach including data, architecture, and AI capabilities

Develop and validate business cases including ROI and value realization

Track and ensure realization of expected business benefits

Ensure alignment with AI governance, data privacy, and compliance requirements

Design use cases suitable for governance submission and approvals

Collaborate with engineering teams on solution design and execution

Drive pilot / POC execution ensuring measurable outcomes

Support and contribute to enterprise AI adoption initiatives

Stay aligned with emerging AI trends, Copilot ecosystem, and LLM advancements

Operate effectively within large, global matrix organizations

Drive discussions, decisions, and execution independently

Required Qualifications

Bachelor’s or Master’s degree in Engineering, Technology, Business, or related field

3–6 years of experience in consulting, product, or solution roles

Strong consulting and problem-solving capability

Experience working across end-to-end product / solution lifecycle

Strong communication and stakeholder management skills

Ability to independently drive discussions and outcomes

Solid understanding of AI fundamentals (LLMs, automation, data-driven solutions)

Working knowledge of AI governance principles (Responsible AI, data privacy, risk awareness)

Experience capturing requirements and planning work using JIRA (or similar tools)

Preferred Qualifications

Experience with enterprise AI tools (e.g., Copilot, RAG-based solutions)

Exposure to enterprise data environments

Experience in business case modeling and ROI estimation

Familiarity with JIRA, Confluence, TFS, or similar tools

Experience working in large global / matrix organizations

Key Competencies

Self-driven with strong ownership mindset

Business–technology translation capability

Structured thinking and analytical ability

Effective stakeholder communication and collaboration