Consultant, AI Engineer, IT​/Tech

Location: Bengaluru

Level :
Consultant |  Location :
India |  Years of Exp : 4+ years of Industry/Consulting Experience

Key responsibilities include:

Advise clients on AI strategy , identifying  high-impact use cases , building  adoption roadmaps , and ensuring alignment with business priorities and industry trends.
Manage end-to-end delivery of AI-enabled solutions , translating business objectives into tangible products and measurable outcomes.
Bridge business and technology teams , ensuring AI/Gen AI/Agentic AI solutions meet strategic goals while fostering  user adoption  and  change management .
Engage senior stakeholders, including C-suite executives , influencing decision-making and driving adoption of innovative, AI-powered business models.
Shape product strategies, operating models, and transformation roadmaps  for AI-driven initiatives across industries/verticals such as  Life Sciences,   Automotive, Smart Cities, Aftersales Services, and Smart Connected Products .
Develop and present executive-level recommendations, proposals, and business cases  that clearly articulate the ROI and strategic impact of AI-enabled transformations.
Demonstrate leadership  by motivating multi-disciplinary teams, fostering collaboration, problem-solving, and ensuring successful execution of engagements.

Preferred Experience
AI/Gen AI Expertise :
Proven experience in defining, managing, or delivering projects with a significant AI or Gen AI component. Ability to  advise clients on AI strategy , identify  high-impact use cases , and build actionable  adoption roadmaps .
Business–Technology Bridge :
Skilled at  translating business needs into AI solutions , acting as the primary interface between stakeholders and technical teams, and driving  agile delivery  of AI-enabled products.
Gen AI Knowledge :
Strong understanding of  LLMs, prompt engineering, and enterprise applications , with familiarity across major  AI platforms  (Azure, GCP, AWS), respective cloud services ( Databricks  for instances) and integration into  enterprise systems  (SAP, Salesforce, Service Now etc.).
Responsible AI :
Awareness of  AI governance, ethics, and risk frameworks , with experience in guiding clients on  responsible AI adoption .
Domain Depth (at least one area desirable):
PRD (CGS, Products)  – Aftermarket services, customer experience, FSM, SAP platforms, and process mining with Data/AI-enabled transformation.
Automobile & Industrial  – SDV enablement ,  connected/EV/autonomous vehicles, mobility solutions (MaaS, diagnostics), compliance & safety standards (ISO 26262, ASPICE, UN-R155).
Platforms (SAP, PTC, NVIDIA)  – Expertise in SAP PPM/PS/CPM/CPQ/EWM and emerging platforms (PTC, NVIDIA, Honeywell). Application of AI, automation, and   process mining to optimize enterprise platforms.
Med Tech / Pharma –  SaMD, SiMD, biopharma platforms (Salesforce, IQVIA, Veeva),   QMS systems   (Trackwise, Veeva), GxP compliance, and   digital engineering for R&D, QA/QC .
H&PS / Utilities (Smart Cities, Public Sector )  –  Smart metering, iCCC, worker safety,   waste   & sustainability ,  with expertise in Digital Twins, GIS, IoT and AI use cases   for governance and service delivery.
A&D & CMT  – Product lifecycle & design transformation using PLM/ALM (JIRA, ADO, Confluence, PTC, Servigistics), plus SDLC processes, warranty, and tech publications .
Consulting Acumen :
Proven track record in  digital transformation ,  multi-disciplinary team leadership , and  executive stakeholder engagement  in technology-intensive industries.
Preferred Background : MBA or equivalent management qualification   combined with an   engineering or technology foundation .