Techno Functional Consulatnt - Artificial Intelligence & Machine Learning
BengaluruOn-siteMid Level
Applicants who checked fit first are 3.1× more likely to hear back
Before you apply
The post's words + ASAI's dataOn-site in Bengaluru.
OK with that?Mid Level level, usually 3-5 years.
You have them?No pay range in the post.
Reposted. This role was posted earlier, closed, and has now reopened - the company is accepting candidates again.
420 AI Engineer roles posted in Bengaluru this week, 1,537 open. See them →
Skills listed in the post · tap the ones you have · 0 of 2
You almost certainly match several of these already.
This post sets 2 stated bars and lists 2 skills. Tap where you stand - nothing is saved, no account needed.
ASAI checks this on every job for you, automatically, so you apply where you fit.
Fit Breakdown
ExampleHow an ASAI match score looks. Yours is built from your resume, not a guess.
Your score for this role already exists - sign in to view it
ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.
Always free · no credit card · 1 tap with Google
Tools on this job
60-Day PassStarts free · 60-Day Pass ₹149 for 60 days, GST included
Free account, no card needed.
The job post
309 words · from Wipro's careers siteJob Description
Role Purpose
A solutions leader with hands-on experience transforming contact centers using applied AI — ML, GenAI, Agentic AI, NLP and Conversational AI. Must have shaped AI-led customer support transformation end to end: use-case discovery, solution architecture, agent orchestration and deployment across CCaaS ecosystems. A core member of Wipro's AI Cross Industry Solutions practice, combining architectural acumen with commercial awareness — able to translate AHT, FCR, TAT, containment and cost-to-serve pain points into agentic interventions with a credible ROI case.
͏
Key Skills
- Grow the AI pipeline across SMUs with sales and pre-sales leads, shaping proactive agentic AI and GenAI propositions.
- Own technical solution development across voice, chat, email and back office — agent-assist, autonomous resolution, knowledge grounding and interaction analytics — to a demonstrable, client-facing standard. Coding not required; architectural judgement is.
- Lead AI RFP/RFI responses: solution definition, architecture, volumetrics-based sizing, benefit case and differentiation.
- Design target-state architectures integrating AI and orchestration layers with CCaaS, CRM and enterprise systems, with attention to scalability, cost-performance and responsible-AI governance.
- Co-design with hyperscaler and platform partners; benchmark the offering against the competitive landscape.
Required:
- Proven delivery of ML, GenAI, Agentic AI or Conversational AI solutions, with specific exposure to contact center transformation.
- Hands-on familiarity with contact center AI platforms and frameworks — for example Google Customer Engagement Suite / CCaaS (GECX), CX Agent Studio, Amazon Lex and Amazon Connect, Genesys, NICE, Microsoft Copilot Studio — and how they fit an agentic target state.
- Ability to define interventions that are high-performance, low-cost and scalable, and to articulate the business case to senior stakeholders.
- B.Tech with relevant professional certifications.
- Strong planning, communication and stakeholder management, including CXO-level engagement.
- Proven ability to prioritize across competing demands.
Highly Desirable:
- Enterprise-scale delivery of Conversational AI, GenAI and agentic architectures.
- Experience with multi-agent orchestration, RAG / knowledge-grounded assistants and autonomous resolution flows
͏
͏
͏
Free · no signup
Get tomorrow's jobs before you have to search
