Presales Engineer -BFSI - ML​/AI

Brief Overview:
Are you a visionary technologist with a passion for solving complex business challenges and a knack for translating technical capabilities into tangible business value? We are seeking a highly skilled and experienced Presales Consultant to join our dynamic team, focusing on the powerful combination of our Agentic Enterprise Platform within the Banking, Financial Services, Insurance (BFSI) and other non-industrial sectors.

As a Presales Consultant, you will be instrumental in driving the positioning of our Agentic Enterprise Platform within our BFSI+ customer base. Your responsibilities will include:

• Co-leading Discovery & Solution Design: Co-lead discovery sessions with sales representatives to develop a deep understanding of customers’ existing business challenges, technical environments, and strategic objectives. Subsequently, architect compelling, end-to-end solutions leveraging Siemens Technologies focused around application development, knowledge graph, data analytics, and AI/ML capabilities to address their specific challenges effectively.
• Technical Demonstrations & Proofs of Concept (POCs): Deliver engaging and impactful technical presentations, product demonstrations, and workshops tailored to customer requirements. Lead and execute successful Proofs of Concept (POCs) that clearly showcase the value and capabilities of our solutions. You will also take part in workshops and proofs of concept, providing pre- and (sometimes) post‑sales cycle support activities.
• Technical Expertise & Advocacy: Act as a trusted technical advisor to customers, sales teams, and partners. Articulate the technical features, benefits, and competitive advantages of the various components within our platform.
• Trusted Advisor Relationship: Develop a trusted advisor relationship with key technical champions and executive sponsors, guiding them through their digital transformation and AI journey.
• Proposal & Bid Support: Provide expert technical input for proposals, RFP’s and RFI’s, ensuring that proposed solutions are technically sound, innovative, and aligned with customer expectations.
• Market & Industry Insight: Acquire, expand, and provide industry expertise. Keep informed about products along with competing products and industry trends within the BFSI+ sectors, continuously refining our approach and solution offerings.
• Collaboration & Knowledge Sharing: Work with your peers, professional services, and sales teams to provide market feedback, contribute to product enhancements, and ensure successful solution delivery.
• Thought Leadership: Represent Siemens at industry events, webinars, and conferences, sharing insights and best practices related to low‑code agentic development, data analytics, AI/ML, and digital transformation in BFSI+.

• Proven Presales
  
  Experience:
  
  5+ years of experience in a technical pre‑sales, solutions architecture, or solutions engineering role, specifically in the areas of data preparation/mining, machine learning, artificial intelligence, or Big Data related analytical solutions. Agentic AI experience is a plus.
• BFSI+ Industry Acumen: Strong understanding of the Banking, Financial Services, and Insurance industries, including common business processes, regulatory requirements, and digital transformation drivers. Experience in other related verticals (e.g., Fin Tech, Capital Markets) is a plus.
• Experience with modern Data/ AI/ Analytics Platforms: Such as Alteryx, Data Robot, Dataiku, Tiger Graph, Neo4j, Amazon Neptune etc.
• Solving & Analytical
  
  Skills:
  
  Exceptional ability to analyze complex business problems and design innovative, scalable, and effective technical solutions. Analytical orientation with the ability to translate business needs into feasible, valuable solutions.
• Communication & Presentation
  
  Skills:
  
  Outstanding verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non‑technical audiences. Proven ability to deliver compelling presentations and demonstrations. Demonstrated history of building effective relationships with customers.
• Customer‑Centric Approach: A…