Vacancy description
Neural Concept
India, Bengaluru
Flexible Solutions Engineer in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Solutions Engineer
Engineering is at an inflection point. The teams defining the next generation of aircraft, electric vehicles, and consumer products are not just designing faster. They are designing fundamentally differently, with AI embedded at the core of their workflows.
Neural Concept builds the Engineering AI platform that makes this possible. We help the world's leading engineering teams accelerate development, improve product outcomes, and scale engineering capacity, turning months of simulation into days and engineering intuition into data-driven insight.
We work with elite engineering teams in Automotive, Aerospace, High-Tech and Electronics, and advanced manufacturing, where the stakes are high, the complexity is rising, and the pressure to innovate has never been greater. As a Solutions Engineer, you sit at the intersection of engineering credibility and strategic influence. You are the person in the room who can connect a VP's business challenge to a concrete, well-scoped AI solution, and who knows Neural Concept's platform and roadmap well enough to make that connection land with confidence.
You are a trusted advisor: someone who earns credibility through engineering background and product depth, and who builds long-term account relationships by consistently framing the right problems and the right solutions at the right moment. You drive the full pre-sales motion, from discovery to demo to signed Statement of Work, and you remain the account's technical compass through the client lifecycle, identifying and shaping expansion opportunities.
Position NC as a long-term strategic partner and trusted engineering advisor across engineering teams, managers, and VPs
Define the AI strategy and technical roadmap for each account, translating NC's capabilities and product direction into a multi-horizon vision
Create and co-own the Statement of Work, with deep understanding of the technical building blocks and how these transform the client's existing workflows
Drive user adoption and engagement across technical users, managers, and designers, ensuring NC is embedded in daily workflows and engineering champions emerge
Identify upsell and expansion opportunities from account knowledge and commercial signals, and shape them into well-scoped proposals
Collaborate with the Sales team to advance and close deals, with the Forward Deployed Engineering team to ensure smooth pre-sales to delivery transitions, and surface client insights to Product and R&D to inform roadmap priorities
You hold an engineering degree (mechanical, aerospace, automotive, industrial, or similar) and have a solid understanding of CAD and CAE workflows, including where bottlenecks lie and what it takes to transform those workflows with AI
You move accounts forward without being asked, spot opportunities early, and bring structure to ambiguous situations
You understand AI and machine learning applied to engineering at a conceptual level, and are comfortable creating demos and prototypes using AI-assisted tools with working knowledge of Python and modern development practices
You have experience in a client-facing role: pre-sales, solutions consulting, technical account management, or engineering consulting
Professional fluency in English.
Candidates who bring the following will be able to take on a wider scope and go deeper with the most technically complex accounts:
You have deep, hands-on simulation experience: full pipelines from CAD to post-processing, solver experience, and workflow automation
You are a strong programmer: you write clean Python, build data pipelines, and are comfortable in ML/DL frameworks including model training, evaluation, and deployment
You can go deep in technical discovery: dive into customer toolchains, data environments, and simulation setups to assess feasibility at the level a simulation engineer would respect
You can build end-to-end engineering workflow demos from scratch, rapidly prototyping the full arc from design generation and simulation to data pipelines, model training, and application deployment using agentic development tools
Strategic or technical consulting background, executing digital transformations
Previous experience working in engineering software companies or using engineering software tools (e.g., Background in ML/DL research or development in an engineering context
Experience automating CAE workflows (scripting, batch processing, surrogate model pipelines)
Benefit from a competitive salary and rewarding opportunities as we continue to scale.
Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.
Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules.
50% travel required within India
We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.
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