W2S Solution- AI Engineer
- Role
- AI / ML
- Experience
- Senior
- Employment
- Full-time
The listing doesn't say where it hires from. It may hire in India (90% confidence). This is an estimate, not an eligibility rule; verify before applying.Signals: the employer's other listings.
No BS summary
Senior AI/ML Engineer with 5-10 years of experience in AI strategy, solution design, and emerging technologies like Agentic AI, LLMs, XAI, Federated Learning, and Responsible AI. Must be an immediate joiner or serving a short notice period.
Core skills
Required skills
Optional skills
Senior AI/ML Engineer – T (Remote)
Experience: 5–10 Years
Location: Remote
Employment Type: Full-Time
Important Note
We are specifically looking for immediate joiners or candidates serving a short notice period. Candidates with valid career gaps are welcome to apply, provided they possess relevant experience and strong technical expertise.
About the Role
We are seeking a highly skilled and forward-thinking Senior AI/ML Engineer to drive AI innovation, strategy, and solution design across the organization. The ideal candidate will possess deep expertise in emerging AI technologies, including Agentic AI frameworks, Large Language Models (LLMs), Explainable AI (XAI), Federated Learning, and Responsible AI practices.
This role requires a combination of technical leadership, AI research capabilities, strategic thinking, and business acumen to help shape the organization's future AI vision and roadmap.
Key Responsibilities
AI Strategy & Innovation
- Contribute to the development and execution of enterprise AI strategy, roadmap, and capability-building initiatives.
- Identify emerging AI trends, technologies, frameworks, and industry best practices.
- Evaluate the business impact, feasibility, and scalability of new AI technologies.
- Drive innovation initiatives and future-state AI vision planning.
AI Solution Design
- Design and architect AI-driven solutions to solve complex business and industrial challenges.
- Recommend innovative AI approaches leveraging LLMs, Agentic AI systems, and advanced machine learning techniques.
- Assess solution viability, scalability, risk, and expected business value.
Research & Technology Evaluation
- Conduct market research, competitive analysis, and technology scouting.
- Evaluate emerging AI platforms, tools, models, and frameworks.
- Analyze opportunities for AI adoption across business functions and operational processes.
AI Governance & Responsible AI
- Establish AI governance frameworks, policies, and standards.
- Define ethical AI guidelines and responsible AI practices.
- Ensure compliance with regulatory, security, privacy, and risk management requirements.
- Drive Explainable AI (XAI) adoption to improve transparency and trustworthiness of AI systems.
Stakeholder Collaboration
- Partner with business leaders, product teams, architects, and engineering teams to align AI initiatives with organizational objectives.
- Present AI strategy recommendations, technical assessments, and innovation proposals to leadership teams.
- Facilitate cross-functional collaboration to accelerate AI adoption and transformation.
Advanced AI Capabilities
- Explore and implement advanced AI concepts including:
- Agentic AI Frameworks
- Large Language Models (LLMs)
- Explainable AI (XAI)
- Federated Learning
- Responsible AI & Governance
- AI Agents & Multi-Agent Systems
- AI Orchestration Frameworks
- Generative AI Solutions
Required Skills & Qualifications
Must-Have Skills
- AI Strategy & Roadmap Development
- Agentic AI Frameworks
- Large Language Models (LLMs)
- AI Governance & Responsible AI
- AI Research & Technology Evaluation
- Explainable AI (XAI)
- Federated Learning
- AI Solution Design & Innovation
Technical Expertise
- Strong understanding of Machine Learning and Deep Learning architectures.
- Hands-on experience with Generative AI and Foundation Models.
- Experience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
- Knowledge of RAG (Retrieval-Augmented Generation) architectures.
- Experience evaluating and integrating AI platforms and cloud AI services.
- Familiarity with MLOps and AI deployment best practices.
Preferred Qualifications
- Experience defining enterprise AI governance policies and frameworks.
- Knowledge of AI risk management and compliance standards.
- Experience working with multi-agent systems and autonomous AI workflows.
- Strong analytical, problem-solving, and strategic planning skills.
- Excellent communication and stakeholder management abilities.
Education
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
Why Join Us?
- Opportunity to shape enterprise-wide AI strategy and innovation.
- Work on cutting-edge AI technologies including Agentic AI and Generative AI.
- Fully remote work environment.
- High-impact role with significant visibility and leadership exposure.
- Opportunity to influence the future AI vision of the organization.
About the company
What you'll do
- Contribute to the development and execution of enterprise AI strategy, roadmap, and capability-building initiatives.
- Identify emerging AI trends, technologies, frameworks, and industry best practices.
- Evaluate the business impact, feasibility, and scalability of new AI technologies.
- Drive innovation initiatives and future-state AI vision planning.
- Design and architect AI-driven solutions to solve complex business and industrial challenges.
- Recommend innovative AI approaches leveraging LLMs, Agentic AI systems, and advanced machine learning techniques.
- Assess solution viability, scalability, risk, and expected business value.
- Conduct market research, competitive analysis, and technology scouting.
- Evaluate emerging AI platforms, tools, models, and frameworks.
- Analyze opportunities for AI adoption across business functions and operational processes.
- Establish AI governance frameworks, policies, and standards.
- Define ethical AI guidelines and responsible AI practices.
- Ensure compliance with regulatory, security, privacy, and risk management requirements.
- Drive Explainable AI (XAI) adoption to improve transparency and trustworthiness of AI systems.
- Partner with business leaders, product teams, architects, and engineering teams to align AI initiatives with organizational objectives.
- Present AI strategy recommendations, technical assessments, and innovation proposals to leadership teams.
- Facilitate cross-functional collaboration to accelerate AI adoption and transformation.
- Explore and implement advanced AI concepts including:Agentic AI FrameworksLarge Language Models (LLMs)Explainable AI (XAI)Federated LearningResponsible AI & GovernanceAI Agents & Multi-Agent SystemsAI Orchestration FrameworksGenerative AI Solutions
What they require
- Experience: 5–10 Years
- Must-Have Skills
- Technical Expertise
- Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
Benefits
- Opportunity to shape enterprise-wide AI strategy and innovation.
- Work on cutting-edge AI technologies including Agentic AI and Generative AI.
- Fully remote work environment.
- High-impact role with significant visibility and leadership exposure.
- Opportunity to influence the future AI vision of the organization.
Piper Serica is a SEBI-registered, Mumbai-based multi-asset management firm founded by Abhay Agarwal. It manages public market portfolios (PMS), a foreign portfolio investor (FPI) fund, and a Category 1 AIF Angel Fund. It distinguishes itself through deep research, proprietary AI screening, and a focus on sector leaders.