Sr Solution Sales - AI Platform

Lexsi Labs; Maharashtra; Vor Ort; INR 2.200.000 - 4.500.000; Vollzeit

Zusammenfassung

Lexsi Lab seeks a Senior AI Solutions Architect to lead strategic, high-value customer engagements and support large enterprise transactions. This senior, customer-facing pre-sales role requires deep AI understanding, system-level thinking, and executive communication skills.

You will collaborate with sales leadership, researchers, and engineers to shape deals from first conversation to closure, engaging with CXOs and risk leaders to architect sovereign, governed AI systems using Lexsi’s

Qualifikationen

• Significant experience working with AI systems and enterprise-scale AI products.
• Background in pre-sales, solution architecture, or technical consulting for complex enterprise deals.
• Strong ability to communicate with CXOs and senior stakeholders about governance and risk in AI systems.
• Experience shipping AI products and understanding modern ML systems beyond tooling.

Aufgaben

• Lead technical discovery, solution design, and executive-level presentations for large customers.
• Frame customer problems around AI sovereignty, risk, governance, cost, and control and translate into architectures.
• Own technical narrative in proposals, RFPs, and regulatory questionnaires; ensure accuracy and feasibility.
• Support demos, proofs-of-concept, and explainability/as-a-service pipelines at scale.
• Act as voice of the customer to inform product and GTM strategy.

Kenntnisse

AI systems experience

Pre-sales / solution architecture

Executive communication

Enterprise deals

Jobbeschreibung

Lexsi Lab is a frontier AI research lab and platform company building the AI Engineering Layer for mission-critical AI . We help enterprises turn open and closed models into governed, auditable, production-grade systems without vendor or infrastructure lock-in.

Founded by pioneers in deep learning, with research hubs in Mumbai and Paris, Lexsi operates at the intersection of AI safety, interpretability, alignment, and systems engineering . Our work is published at top-tier venues (ICML, IJCNN, WWW, ACL), and our patented technologies, such as DL-Backtrace , enable explainability and auditability at a scale that enterprise AI demands.

Our customers deploy AI in environments where failures are expensive, regulation is real, and evidence matters: banking, financial services, insurance, and other high-risk domains.

Lexsi Lab is a frontier AI research lab and platform company building the AI Engineering Layer for mission-critical AI . We help enterprises turn open and closed models into governed, auditable, production-grade systems without vendor or infrastructure lock-in.

Founded by pioneers in deep learning, with research hubs in Mumbai and Paris, Lexsi operates at the intersection of AI safety, interpretability, alignment, and systems engineering . Our work is published at top-tier venues (ICML, IJCNN, WWW, ACL), and our patented technologies, such as DL-Backtrace , enable explainability and auditability at a scale that enterprise AI demands.

Our customers deploy AI in environments where failures are expensive, regulation is real, and evidence matters: banking, financial services, insurance, and other high-risk domains.

The Role

We are looking for a Senior AI Solutions Architect to lead strategic, high-value customer engagements and support large enterprise transactions. This is a senior, customer-facing pre-sales role for someone who combines deep AI understanding, system-level thinking, and executive communication skills .

You will work closely with sales leadership, researchers, and engineers to shape deals from first conversation to closure. You will regularly engage with CXOs, Heads of AI, Risk, and Engineering, helping them understand how to build sovereign, governed, and defensible AI systems using Lexsi’s platform and research-led primitives.

This role is not about running delivery projects. It is about owning technical credibility in complex sales cycles .

What You’ll Do

You will lead technical discovery, solution design, and executive-level presentations for large, multi-stakeholder customers across Europe, the Middle East, and South Asia. You will frame customer problems around AI sovereignty, risk, governance, cost, and control, and translate them into clear architectures and evidence-backed solutions.

You will own the technical narrative in proposals, RFPs, and regulatory questionnaires, working closely with internal research and engineering teams to ensure accuracy, rigor, and feasibility. You will support advanced demos and proofs-of-concept, and help customers understand how Lexsi enables governed LLM gateways, explainability at scale, alignment and fine-tuning pipelines, and runtime observability.

Internally, you will act as the voice of the customer, feeding structured insights back into product, platform, and go-to-market strategy.

Who You Are

You have significant experience working with AI systems and have spent time in pre-sales, solution architecture, or technical consulting roles tied to complex enterprise deals. You have built or shipped AI products and understand modern ML systems beyond surface-level tooling.

You are comfortable discussing topics such as explainability, alignment, evaluation, and deployment trade-offs with both researchers and senior enterprise stakeholders. You can walk into a high-stakes meeting and clearly explain why governance, auditability, and model optionality matter, without losing the room in technical detail.

You write clearly, present confidently, and operate well in ambiguity. You enjoy shaping solutions rather than following scripts.

Why This Role at Lexsi

You will work at the frontier of trustworthy and mission-critical AI, influencing how advanced research is adopted in real enterprises. You will play a visible role in large strategic deals and help define how Lexsi is positioned with regulators, banks, and global institutions.

This is a role for someone who wants to sit where research, product, and revenue intersect, and who enjoys being trusted with conversations that actually matter.