
Senior AI Solutions Architect
12 hours ago
At the forefront of artificial intelligence, we seek a visionary leader to spearhead AI/ML solutioning and innovation initiatives within our AI Innovations Lab. This strategic role involves designing, delivering, and scaling AI/ML solutions for clients in the financial services ecosystem.
The ideal candidate brings a mix of hands-on technical expertise, strategic thinking, and leadership maturity to steer high-impact engagements from concept to delivery.
Key Responsibilities:- Lead the design and delivery of AI/ML solutions across financial domains such as 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.
- 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.
- Bachelors or Masters degree in a relevant field from a Tier 1 academic institution (Computer Science, Statistics, Mathematics, or equivalent).
- 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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