AI Advisor (FTE)

Position: AI Advisor

Work Location: NY/NJ

Travel: Up to 20% respecting public health guidelines in effect

Type of Employment: Full time

Reporting to: Head of Data Science and AI

Purpose of the Position:

As an AI Advisor, you will be responsible to develop effective and high-quality program solutions
that meet business requirements. You will serve as a strategic and hands-on consultant to clients and prospects, guiding
them through the adoption and implementation of AI-led solutions. This role demands deep expertise and understanding
in Data Science, ML Algorithms, GenAI technologies, Emerging AI-led Data Platforms, no-code platforms, agentic
frameworks, and enterprise AI stacks. You would also apply your domain understanding to pre-build business solutions
that addresses specific business challenges.
The advisor will be responsible for identifying business opportunities, designing AI strategies for vertical specific use cases,
and presenting compelling proposals leading to the conversions. Also own the technical consultation for existing/new

Key Result Areas and Activities:
AI Consulting & Strategy
Engage with clients proactively to understand business challenges and identify AI-led opportunities.
Innovate and present tailored AI strategies and AI-led point solutions
Translate business needs into AI solution architectures and actionable roadmaps for clients
Solution Design & Prototyping
Architect and design Data Science solutions applying principles of both discriminative AI through ML modelling
and Generative / Agentic AI that best addresses the client needs
Build rapid prototypes using no-code/low-code platforms and UI tools
Apply GenAI/ML techniques to solve vertical-specific problems (e.g., retail, pharma, media).

Classification:

Private 19-09-2025
Collaborate with cross-functional teams, domain experts to validate feasibility and scalability.
Research & Innovation
Proactively build innovative AI-led point solutions/utilities for common/emerging business problems or
opportunities
Continuously research emerging AI technologies and adopt to take an edge over competitors
Incubate a team to proactively build reusable AI artefacts and demo-able assets
Proposal Development & Presentation
Draft and deliver proposals and presentations for AI-led solutions.
Articulate value propositions to both technical and non-technical stakeholders.
Support pre-sales efforts with demos, PoCs, and client workshops.
Technical Stack Awareness
Advice on implementation using AI platforms & Frameworks like:
Databricks AI, Snowflake Cortex, Azure Foundry, AWS Bedrock, AI/ML Ecosystem, LangChain, LangGraph, and
other Multigenetic frameworks, Analytics Co-pilots, OpenAI, Anthropic LLM fine-tuning tools
Understand application development lifecycle and recommend optimal tech stacks.
Project delivery
Lead the delivery of Data Science project outcomes by collaborating with other team members.
Engage actively in Data Discovery, Data cleansing, Data Analysis, Feature Selection, and in building ML models for
prediction systems. Engage in prompt generation, chunking methodology, fine tuning for Gen AI based
application build

Work and Technical Experience:

Must have :
Programming Skills Experience in statistical programming languages like R, Python, and database query
languages like SQL.
Strong foundation in data science and predictive modeling, including experience with classical ML techniques
(e.g., regression, classification, clustering, time-series forecasting).
Hands-on experience with GenAI implementation and adoptions for business use cases, LLM fine-tuning, multi-
agentic implementations, and multi-modal RAG
Experienced in point-solution consulting and enterprise application building
Strong understanding of cloud-native AI platforms and data-engineering / data-science workflows.
Experience in verticals such as retail, healthcare is a plus.
Strong understanding of machine learning algorithms, model building, validation, and deployment to create
predictive models and derive actionable insights
Experience in applying statistical techniques, hypothesis testing and data interpretation
Pre-Sales experience in anchoring and authoring proposal responses for Data Science and AI requirements

Good To have:
AI Governance & Ethics: Ability to advise on responsible AI practices and compliance (e.g., GDPR, HIPAA).
Performance Metrics: Experience in defining and tracking KPIs for AI implementations.
Change Management: Skills in driving adoption and managing transformation programs.
Training & Enablement: Ability to mentor internal teams and conduct client workshops.
Experience with Data Visualization Tools - Ability to create compelling visualizations using leading reporting tools
like Tableau, Power BI to communicate findings effectively to stakeholders

Classification: Private 19-09-2025

Qualifications:
Bachelors in computer science engineering, Data Science or related field (Master s degree is a plus)
Demonstrated continued learning through one or more technical certifications or related methods
15+ years of IT experience, which includes considerable experience in Data Science problem solving and
application development

Qualities:
Self-motivated and focused on delivering outcomes for a fast-growing team and firm
Able to communicate persuasively through speaking, writing, and client presentations
Able to consult, write, and present persuasively
Able to work in a self-organized and cross-functional team
Able to iterate based on new information, peer reviews, and feedback
Able to work with teams and clients in different time zones
Research focused mindset