4+ Solution delivery Jobs in India

About MyOperator

MyOperator is a Business AI Operator, a category-leader that unifies WhatsApp, Calls, and AI-powered chat & voice bots into one intelligent business communication platform. Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single, no-code platform. Trusted by 12,000+ brands including Amazon, Domino's, Apollo, and Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

🌍 We’re Hiring: Senior Field AI Engineer | Remote | Full-time

Are you passionate about pioneering enterprise AI solutions and shaping the future of agentic AI?

Do you thrive in strategic technical leadership roles where you bridge advanced AI engineering with enterprise business impact?

We’re looking for a Senior Field AI Engineer to serve as the technical architect and trusted advisor for enterprise AI initiatives. You’ll translate ambitious business visions into production-ready applied AI systems, implementing agentic AI solutions for large enterprises.

What You’ll Do:

🔹 Design and deliver custom agentic AI solutions for mid-to-large enterprises

🔹 Build and integrate intelligent agent systems using frameworks like LangChain, LangGraph, CrewAI

🔹 Develop advanced RAG pipelines and production-grade LLM solutions

🔹 Serve as the primary technical expert for enterprise accounts and build long-term customer relationships

🔹 Collaborate with Solutions Architects, Engineering, and Product teams to drive innovation

🔹 Represent technical capabilities at industry conferences and client reviews

What We’re Looking For:

✔️ 7+ years of experience in AI/ML engineering with production deployment expertise

✔️ Deep expertise in agentic AI frameworks and multi-agent system design

✔️ Advanced Python programming and scalable backend service development

✔️ Hands-on experience with LLM platforms (GPT, Gemini, Claude) and prompt engineering

✔️ Experience with vector databases (Pinecone, Weaviate, FAISS) and modern ML infrastructure

✔️ Cloud platform expertise (AWS, Azure, GCP) and MLOps/CI-CD knowledge

✔️ Strategic thinker able to balance technical vision with hands-on delivery in fast-paced environments

✨ Why Join Us:

• Drive enterprise AI transformation for global clients
• Work with a category-defining AI platform bridging agents and experts
• High-impact, customer-facing role with strategic influence
• Competitive benefits: medical, vision, dental insurance, 401(k)

About the Role: 

As a Solution Design team member, you will be focused on designing solutions for some of the most challenging and exciting problems that we are working to solve in the logistics industry. You will be responsible for understanding the customer's business, supply chain challenges and building practical processes or technologically led solutions for these. This role is varied and fast-paced – constantly adapting to the logistics industry's landscape and business needs.

Key responsibilities:

• Study the customer's supply chain process and build a deeper understanding of industry-specific supply chains, their underlying & fundamental challenges, and build holistic solutions.
• Analyze data to come up with actionable insights.
• Drive implementation of complex engagements.
• Become a knowledge powerhouse within the organization for anything related to logistics.
• Develop holistic business requirements and drive product development while working with the product and technology team. 
• Take ownership of complex projects, work with cross-functional teams and drive the projects to completion. Be accountable for the overall technical excellence and quality of the technical output. 
• Educate and support customers, both pre-and post-sales, helping them with implementation, testing, integrations, and more.

Preferred qualifications:

• MBA with 4+ years of solid experience in Logistics.
• Good knowledge of logistics, preferably within Steel, Cement, FMCG, Transportation or related industries.
• Good to have experience working with B2B product-based organizations.
• Ability to understand the processes and cost drivers of customers from different industries.
• Strong analytical skills, with the ability to translate data into insights.
• Self motivated, result - oriented with a bias for speed and action.
• Good verbal, written, social, presentation and interpersonal skills.
• Ability to thrive in a multi-tasking environment and adjust priorities on-the-fly while still focusing on details and being analytical.

NextGen AVP Role - Pune Location

Job Description

Experience:

Should have subject matter expertise in cloud platforms (AWS, Azure & GCP), and next generation technologies

Should possess experience in designing and delivering architectural solutions for mission critical applications using cloud native development and architecture and cloud migration methodologies and tools

Demonstrated as a trusted advisor for customers on various Next Gen technology solution options and presented strong value proposition to win the deals

Experience is building differentiated solution & service offerings in building Next Gen Application development

Extensive experience in Presales, Solutioning, Delivery, People Management, Global experience and should be in a P&L role

Have experience leading complex, global solution implementations programs

Technology Experience:

Cloud Native App development, Microservices based enterprise grade application development, Serverless Computing, Containerization technologies

AWS, Azure, GCP and aPaaS platforms like Cloud Foundry

DevSecOps – CI/CD tool chain, API Management platforms

Database technologies – Structured & Unstructured data storage platforms

Expectations:

Responsible to formulate business development strategies for NextGen Application Development Technology practice

Create differentiated solution & Services offerings and translate into revenue growth

Drive strategic account growth and be responsible for the delivery of consulting services to our customers

Actively search for opportunities to expand business within existing accounts and help win new clients

Building new technology capabilities, and building team competencies

Marketing of technology & domain solutions / service offerings to internal/external stakeholders

Manage business relationship with the technology partners & start-up eco systems and demonstrate edge over competition