AI Solution Architect

At InfoCepts, you’ll be challenged to think innovatively, while growing your own personal and professional skills designed with the future in mind. We have more than 1200 global professionals working on cutting edge technology solutions with a single mission – transforming our customers' journey with data-driven modernization. InfoCepts has been recognized as Gartner Peer Insights ™ Customers' Choice for two consecutive years in 2020 and 2021 which recognizes our best-in-class services that help our customers approach any data analytics problem. We are certified by Great Place to Work®, India in 2021 & 2022 and recognizes our high-trust and high-performance work culture, and great employee experience in the industry. Responsibilities 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). 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 Essential Skills : 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 Desirable Skills: 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 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