Strategic Enterprise Solutions Specialist

1 week ago

Thāne, Maharashtra, India beBeeSolution Full time ₹ 14,40,000 - ₹ 1,81,20,000
Role Overview

The Principal Solutions Engineer plays a pivotal role in shaping digital transformation journeys for clients.

With over two decades of expertise delivering intelligent, scalable, and outcome-driven solutions, they empower mid-market and enterprise clients across industries to accelerate their transformation.

This role bridges strategy, sales, and technology, ideal for someone who thrives on solving complex business problems using modern AI and data solutions.

Key Responsibilities
  • Pre-Sales & Discovery
    • Partner with account executives to run deep discovery sessions with potential clients.
    • Lead solution scoping, proof-of-concept design, and business case articulation.
    • Translate client needs into technically sound, commercially viable proposals.
    • Influence technical evaluations and RFP responses with confidence and clarity.
  • Architecture & Implementation Support
    • Architect solution blueprints combining AI/ML models, cloud infrastructure, and legacy systems.
    • Advise on best-fit technologies and platforms.
    • Support pilot deployments and co-develop initial rollouts with delivery teams.
    • Continuously engage with internal product and engineering teams to feed insights from the field.
  • Customer Enablement & Value Realization
    • Serve as a trusted technical advisor during post-sale handoff.
    • Guide customers in maximizing proprietary digital value accelerator frameworks.
    • Recommend scalable integrations, data flows, and AI model tuning strategies tailored to each customer's environment.
Requirements
  • 6–8 years in a pre-sales, solutions engineer, or technical consultant role.
  • Strong working knowledge of AI/ML concepts, cloud infrastructure, and digital transformation strategies.
  • Solid hands-on experience with Python, APIs, and modern data stack tools.
  • Ability to speak with both technical teams and executive stakeholders.
  • Proven success designing or supporting enterprise-scale solutions.
  • Passion for solving real-world problems using AI and data—not just building cool demos.
  • Bachelor's/Master's in Computer Science, Engineering, or equivalent experience.
Preferred Skills
  • Familiarity with MLOps workflows and AI evaluation frameworks.
  • Knowledge of manufacturing, healthcare, or financial systems.
  • Experience building ROI models and supporting business case development.
  • Understanding of compliance-heavy environments (HIPAA, FINRA, etc.).

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