AI Practice Lead - Client Interface & Solutions Architect
Position Overview
We are seeking a seasoned AI Practice Lead with 15+ years of comprehensive experience to spearhead client engagements and drive custom AI solution development across diverse industry verticals. This executive-level role combines deep technical expertise in Generative AI, Machine Learning, and Deep Learning with exceptional client management skills and strategic business acumen to identify and capitalize on AI opportunities in the rapidly evolving artificial intelligence landscape.
Position Details
Experience Required:
15+ years in AI/ML with 8+ years in leadership roles Location:
Noida/Bangalore/Mumbai (preferred), open to other major tech hubs Travel:
Extensive travel required for client meetings, solution presentations, and global AI conferences Industry Focus:
Cross-industry AI solutions with expertise in BFSI, Healthcare, Manufacturing, Retail, and Emerging Technologies
Strategic Leadership Responsibilities
Client Engagement & Business Development
- Lead high-stakes client interactions, serving as the primary AI evangelist and technical authority
- Conduct executive-level presentations on AI strategy, ROI analysis, and digital transformation roadmaps
- Identify and qualify AI opportunities across diverse industry domains through consultative selling approaches
- Build and maintain C-suite relationships with enterprise clients, technology partners, and industry leaders
- Drive revenue generation through strategic AI solution positioning and competitive differentiation
AI Solution Architecture & Design
- Architect end-to-end AI solutions encompassing Generative AI, Traditional ML, Deep Learning, and Large Language Models
- Design custom AI frameworks with built-in explainability, interpretability, and transparency mechanisms
- Develop comprehensive AI governance frameworks including ethical guidelines, bias detection, and fairness metrics
- Create robust security architectures for AI systems including adversarial attack protection and privacy preservation
- Lead proof-of-concept development and technical validation for complex AI implementations
Practice Development & Innovation
- Define and execute AI practice strategy, including service offerings, capability development, and market positioning
- Stay ahead of emerging AI trends including multimodal AI, federated learning, quantum ML, and neuromorphic computing
- Establish partnerships with leading AI research institutions, technology vendors, and startup ecosystems
- Drive thought leadership through whitepapers, industry publications, speaking engagements, and patent filings
- Build and mentor high-performing AI teams across technical and business functions
Technical Leadership & Delivery
Advanced AI Technologies
- Lead implementation of Generative AI solutions including GPT variants, diffusion models, and multimodal generative systems
- Architect Large Language Model (LLM) solutions with focus on domain adaptation, fine-tuning, and prompt engineering
- Design and implement sophisticated ML algorithms including ensemble methods, reinforcement learning, and transfer learning
- Develop Deep Learning architectures for computer vision, natural language processing, and time series analysis
- Create federated learning systems for privacy-preserving AI across distributed environments
Explainable AI & Governance
- Implement comprehensive explainable AI (XAI) frameworks using LIME, SHAP, attention mechanisms, and custom interpretability tools
- Design AI governance structures including model monitoring, drift detection, and automated retraining pipelines
- Establish ethical AI guidelines with focus on fairness, accountability, transparency, and human-centered design
- Create robust testing frameworks for AI bias detection, adversarial robustness, and safety validation
- Implement AI audit trails and compliance reporting for regulatory requirements
Technical Implementation & Platforms
- Hands-on development using Python ecosystem including TensorFlow, PyTorch, Scikit-learn, Hugging Face, and LangChain
- Design cloud-native AI architectures on AWS, Azure, and GCP with focus on scalability and cost optimization
- Implement MLOps pipelines including automated testing, deployment, monitoring, and lifecycle management
- Develop real-time AI inference systems with low-latency requirements and high-availability constraints
- Create hybrid AI solutions combining on-premises and cloud deployments for security-sensitive applications
Required Qualifications
Executive & Leadership Skills
Strategic Vision:
Proven ability to translate AI possibilities into business value and competitive advantage Client Management:
Exceptional skills in managing enterprise relationships and driving complex sales cycles Team Leadership:
Experience building and scaling AI teams from startup to enterprise levels Communication:
Outstanding presentation skills with ability to communicate technical concepts to non-technical executives Business Acumen:
Deep understanding of AI economics, pricing models, and market dynamics
Technical Expertise
Generative AI Mastery:
Extensive experience with GPT, BERT, T5, diffusion models, GANs, and multimodal architectures ML/DL Proficiency:
Advanced knowledge of supervised, unsupervised, and reinforcement learning algorithms Python Expertise:
Expert-level proficiency in Python for data science, ML frameworks, and production systems Data Engineering:
Strong background in data pipelines, feature engineering, and data architecture Cloud Platforms:
Hands-on experience with cloud AI services and distributed computing frameworks
Industry & Domain Knowledge
Cross-Industry Experience:
Proven track record of delivering AI solutions across multiple industry verticals Regulatory Awareness:
Understanding of AI regulations, data privacy laws, and industry-specific compliance requirements Emerging Technologies:
Knowledge of quantum computing, edge AI, neuromorphic chips, and next-generation computing paradigms Research Orientation:
Active engagement with AI research community and cutting-edge developments
Mandatory Qualifications
Education:
PhD/MS in Computer Science, AI/ML, Data Science, or equivalent advanced degree Experience:
15+ years in AI/ML with demonstrated progression from individual contributor to executive leadership Technical Leadership:
Minimum 8+ years leading AI teams and delivering enterprise-scale AI solutions Client Engagement:
Proven track record of managing $10M+ AI engagements and C-level relationships
Preferred Certifications & Achievements
Cloud AI Certifications:
AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer Professional Recognition:
Published research papers, patents, or significant industry recognition Leadership Credentials:
Executive leadership programs, board positions, or advisory roles Industry Standards:
Involvement in AI ethics committees, regulatory bodies, or standard-setting organizations
Specialized Expertise Areas
Industry-Specific AI Applications
Financial Services:
Algorithmic trading, risk management, fraud detection, regulatory compliance, and personalized banking Healthcare:
Medical imaging, drug discovery, personalized medicine, clinical decision support, and population health analytics Manufacturing:
Predictive maintenance, quality control, supply chain optimization, and autonomous manufacturing systems Retail & E-commerce:
Recommendation engines, demand forecasting, price optimization, and customer experience personalization Emerging Sectors:
Autonomous vehicles, smart cities, agriculture tech, and sustainability applications
Cutting-Edge AI Technologies
Multimodal AI:
Vision-language models, audio-visual processing, and cross-modal understanding systems Federated Learning:
Privacy-preserving distributed AI training and inference across organizational boundaries Quantum Machine Learning:
Hybrid classical-quantum algorithms and quantum advantage applications Neuromorphic Computing:
Brain-inspired computing architectures and event-driven processing systems AI Safety & Alignment:
Advanced techniques for ensuring AI systems remain beneficial and controllable
Key Success Metrics
Revenue Growth:
Drive 300%+ growth in AI practice revenue over 3-year period Client Satisfaction:
Maintain 95%+ client satisfaction scores and achieve 80%+ repeat business rate Innovation Leadership:
Establish organization as recognized thought leader in AI innovation and best practices Team Development:
Build world-class AI team with industry-leading talent retention rates Market Expansion:
Successfully penetrate 5+ new industry verticals with AI solutions
What We Offer
Executive Compensation:
Highly competitive package including equity participation and performance bonuses Innovation Platform:
Access to cutting-edge AI infrastructure, research partnerships, and unlimited learning resources Global Exposure:
Opportunities to work with Fortune 500 clients and shape the future of AI across industries Thought Leadership:
Platform to influence AI industry direction through speaking, writing, and advisory roles Professional Growth:
Direct path to C-suite positions with opportunity to lead AI transformation at scale
Future-Ready Focus Areas
Artificial General Intelligence (AGI):
Preparing for the transition from narrow AI to more general intelligence systems Human-AI Collaboration:
Designing systems that augment human capabilities rather than replace them Sustainable AI:
Developing energy-efficient AI systems and addressing environmental impact of large-scale AI AI Democratization:
Making advanced AI capabilities accessible to smaller organizations and individual practitioners Cross-Industry AI Platforms:
Building reusable AI components that can be rapidly deployed across multiple domains
Impact & Legacy
Industry Transformation:
Lead digital transformation initiatives that fundamentally change how industries operate Ethical AI Leadership:
Establish new standards for responsible AI development and deployment Innovation Ecosystem:
Build thriving AI communities that accelerate technological advancement Talent Development:
Mentor next generation of AI leaders and practitioners Societal Benefit:
Ensure AI technologies are developed and deployed for maximum positive impact on society
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