AI Solutions Strategist

2 weeks ago

Amrāvati, Maharashtra, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Key Responsibilities:

  • Develop and execute strategic AI/ML solutions for financial institutions, focusing on banking, payments, digital lending, and credit lifecycle management.
  • Collaborate with clients to translate complex business challenges into scalable AI solutions, ensuring alignment with strategic goals and measurable ROI.
  • Manage cross-functional delivery teams, ensuring execution excellence and adherence to timelines, quality standards, and client expectations.
  • Act as a thought leader and solution architect, continuously identifying opportunities for innovation using emerging technologies and AI algorithms.
  • Take ownership of end-to-end AI program delivery, from ideation, POC development, and pilot testing to full-scale production deployment.
  • Drive collaborative innovation—partnering with internal and external stakeholders to develop differentiated AI solutions tailored to financial services use cases.
  • Provide technical mentorship and strategic direction to a high-performing team of data science consultants and AI engineers.
  • Foster a culture of continuous experimentation and intellectual curiosity, with a focus on building from scratch and scaling impactful solutions.

Required Qualifications:

  • 7 to 12 years of experience in AI, ML, or analytics, with demonstrated impact in financial services domains.
  • Proven experience delivering AI solutions across the credit, payments, banking, or fintech landscape, preferably working with or consulting for credit providers or digital lending platforms.
  • Deep understanding of the AI project lifecycle—from business problem formulation to deployment and post-production monitoring.
  • Hands-on expertise with cloud platforms (AWS, Azure, GCP) and programming tools such as Python, Spark, and SQL.
  • Strong track record of leading technical teams and interfacing with senior client stakeholders, including product heads, data leaders, and transformation executives.
  • Bachelor's or Master's degree in a relevant field from a Tier 1 academic institution (Computer Science, Statistics, Mathematics, or equivalent).

Preferred (Good to Have):

  • Exposure to Generative AI, LLMs, or agent-based AI frameworks.
  • Experience in setting up or contributing to AI-based innovations, internal solution accelerators, or Centers of Excellence (CoE).

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