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Lead - Solution Engineer

Freshworks Verified employer

Full time
Experience
8+ years
Location
Bangalore, Chennai
Work mode
Not stated
Salary
₹15L – ₹25L a year estimatetypical for IT Jobs in Bangalore, 252 posts
Posted 2 months ago Last checked 18 hr ago

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Role at a glance

You will
  • Own the technical narrative for AI/Freddy across strategic and competitive deals — positioning Freddy AI Copilot, Freddy AI Agent, Agent…
  • Design and deliver tailored AI proofs-of-concept and demos: configuring agentic workflows, custom skills, and automations in Agent Studio…
  • Lead technical discovery specifically for AI use cases — ticket deflection, agent-assist, workflow automation, knowledge management —…
Experience
8+ years
Must-have skills
AWSGoogle Cloud Platform (GCP)JIRAMachine LearningMicrosoft AzureServiceNow

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Job description

Location: Bengaluru, KA, India
Department: Other

Job Description

Freshservice is expanding what “AI-driven ITSM” means for our customers — from Freddy AI Copilot and Freddy AI Agent, to Agent Studio for building custom agentic workflows, to MCP Gateway connecting Freshservice to the broader AI stack. We're creating a new kind of Solutions Engineering role to match: the Lead AI Solution Engineer.

This is a specialist presales role for someone who can do three things at once: speak credibly to technical and business buyers about AI value, architect and demo AI solutions on top of Freshservice, and stay hands-on enough to help customers get those solutions live post-sale. You'll be the AI subject-matter expert embedded in SMB and Commercial deals, partnering with Account Executives, core SEs, Product, and Professional Services to win competitive deals and make sure the AI value we sell is the AI value customers actually realize.

You'll report into the Solutions Engineering leadership team and act as a force multiplier for the broader SE org — enabling peers, building reusable AI demo assets, and representing the voice of the customer back to Product on where our AI roadmap needs to go next.

What You'll Do

  • Own the technical narrative for AI/Freddy across strategic and competitive deals — positioning Freddy AI Copilot, Freddy AI Agent, Agent Studio, and MCP Gateway against how prospects actually work today, not a generic AI pitch.
  • Design and deliver tailored AI proofs-of-concept and demos: configuring agentic workflows, custom skills, and automations in Agent Studio, and connecting Freshservice to customer data and tools via MCP Gateway and APIs.
  • Lead technical discovery specifically for AI use cases — ticket deflection, agent-assist, workflow automation, knowledge management — quantifying expected impact (deflection rate, resolution time, agent productivity) with the customer, not just for them.
  • Lead internal projects that improve Solution Engineering efficiency and productivity, identifying repetitive processes and building AI driven workflows to simplify or automate them.
  • Partner with Account Executives and core Solution Engineers as the AI overlay specialist on SMB, Commercial and competitive pursuits, joining deals at the point where AI differentiation matters most.
  • Support deal-winning activities end to end: RFP/RFI responses, executive briefings, proof-of-value engagements, and security/architecture reviews for AI components (data handling, model governance, integration security).
  • Bridge presales to delivery: work with Professional Services and Customer Success to help scope and de-risk the implementation of AI solutions sold, so what was demoed is what gets deployed.
  • Build and maintain a library of reusable AI demo environments, reference architectures, and ROI/business-case models that the wider SE team can self-serve.
  • Track competitive AI positioning versus ServiceNow (Now Assist), SysAid, Quest KACE, and other ITSM/ITAM players — including where competitors are genuinely ahead, so the team's positioning stays credible rather than one-sided.
  • Represent customer and field feedback on AI features and gaps directly to Product and Engineering, influencing roadmap prioritization.
  • Mentor and enable other SEs on AI positioning, demo technique, and objection handling as the internal go-to expert.

Qualifications

What You'll Bring

  • 8+ years in Solutions Engineering, Sales Engineering, Solution Consulting, or Technical Presales, ideally within ITSM, ITOM, ITAM, or broader enterprise SaaS.
  • Strong AI fundamentals. You deeply understand how LLMs and agents work in production: context engineering, memory, RAG, tool use, structured outputs, and the failure modes that actually show up at scale. You've worked with agentic frameworks (LangGraph, LlamaIndex, Google ADK, or equivalent) and with both open and closed source models.
  • Hands-on experience deploying or configuring AI/LLM-based solutions in a customer-facing context — this can be conversational AI/copilots, RAG-based knowledge assistants, or agentic workflow automation; deep AI/ML research experience is required.
  • Hands on expectations around building internal agents and automations. For example, creating agents that can interact with multiple internal systems, collect and consolidate information from different sources, reason across that context, and provide actionable recommendations or trigger downstream workflows.
  • A track record of selling and positioning AI or automation value to both business stakeholders (ROI, productivity, risk) and technical stakeholders (architecture, security, integration). Experience building production-grade machine learning deployments on AWS, Azure, or GCP
  • Experience running competitive deals and building honest, differentiated positioning rather than one-size-fits-all pitches.
  • Comfort operating across the full deal lifecycle — from discovery and demo through proof-of-value and into implementation handoff.
  • Excellent executive presence and communication skills; able to flex a technical AI conversation up to a CIO/CX-leader audience or down to a hands-on admin audience in the same week.
  • Freshservice, Freshdesk, or comparable ITSM/CX platform experience (ServiceNow, SysAid, Zendesk, Jira Service Management) is a strong plus.

Nice to Have

  • Prior experience with Freddy AI, Agent Studio, or Freshworks products specifically.
  • Experience with ITAM/discovery tooling (e.g., Device42) and how it feeds AI-driven automation.
  • Exposure to AI governance conversations (data residency, model risk, responsible AI) in regulated industries.
  • A builder's instinct — you'd rather stand up a working demo than a slide.

Additional Information

At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.

Company Description

Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done.

There’s another option. Freshworks. With a fresh vision for how the world works.

At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And over 4,500 Freshworks employees make this possible, all around the world.

Fresh vision. Real impact. Come build it with us

Key skills

Required

AWSGoogle Cloud Platform (GCP)JIRAMachine LearningMicrosoft AzureServiceNow

Soft skills

Communication

Job market insights

1,184active AWS jobs in Bangalore
719active Google Cloud Platform (GCP) jobs in Bangalore
348active JIRA jobs in Bangalore
₹15L – ₹25L advertised yearly salary for IT Jobs in Bangalore (middle half of 252 posts that show a salary; median ₹19L)
26 more open jobs at Freshworks

Most IT Jobs posts in Bangalore ask for 3–6 years of experience (41% of 3794 that say).

Hiring most for IT Jobs in Bangalore

  • Bosch Group166 open jobs
  • Trigent Software Private Limited138 open jobs
  • Brillio116 open jobs

Jobs asking for AWS in Bangalore also ask for

  • Microsoft Azure58%
  • Python54%
  • Google Cloud Platform (GCP)49%
  • CI/CD41%
  • Kubernetes38%

From live job posts on CoreHRx, updated 9 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Lead - Solution Engineer job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹15L – ₹25L a year (typical for IT Jobs in Bangalore, 252 posts).

How much experience does this job need?

The post asks for 8 Yrs experience.

Where is this job based?

In Bangalore, Chennai.

What kind of job is this?

It is a full time job.

This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.

Questions you may be asked

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  2. Explain the AWS shared responsibility model.
  3. What is Amazon EC2, and how do you read an instance type name like m7g.large?
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