Client is seeking an exceptional Senior AI/GenAI Engineer who will also serve as a Solutions Architect and Technical Leader . This highly strategic role demands 15+ years of data and analytics experience and a proven track record of designing, developing, and deploying complex, enterprise-scale AI/Generative AI applications. You will be responsible for defining the technical strategy with CXO-level executives , leveraging our modern data lake platforms, and transforming innovative POCs into production-ready, governed solutions.
Key Responsibilities
Strategy, Leadership, and Governance
· Serve as the chief technical authority for all AI/GenAI initiatives, providing technical leadership and mentorship across engineering teams.
· Collaborate directly with CXO-level stakeholders to define the organizational AI strategy, identify high-impact business use cases, and translate them into a concrete, executable roadmap.
· Define and enforce standards for AI Model Governance, Responsible AI , and compliance, ensuring solutions are ethical, transparent, and auditable.
· Build rapid Proof-of-Concept (POC) s to validate strategic AI applications and demonstrate compelling business value to leadership.
· Ability to lead the Solution design for the RFPs
· This role is a 70% technical and 30% leadership
Solution Design and Architecture
· Provide the comprehensive Solution Design and Application Architecture for enterprise AI/GenAI systems, ensuring high performance, scalability, and security.
· Architect and optimize solutions at both the tool and platform level , maximizing value from our existing data lake ecosystem (e.g., Databricks, AWS, Python etc.).
· Drive the selection and integration of necessary tools, libraries, and frameworks required for full-lifecycle GenAI development and deployment.
Hands-On Development and Optimization
· Apply 3-4 years of direct, hands-on experience to architect and develop robust, production-grade Generative AI applications.
· Expertly utilize advanced AI/GenAI techniques, including complex Prompt Engineering , designing efficient Retrieval-Augmented Generation (RAG) pipelines , and building multi-step Agentic solutions .
· Focus on model performance optimization and cost efficiency during training, fine-tuning, and inference stages.
· Establish CI/CD and MLOps pipelines for automated testing, deployment, and monitoring of AI applications.
Required Qualifications
· Experience:
o 15+ years of total experience in the Data, Analytics, and Software Engineering fields, with at least 5 years in a senior leadership or architecture role.
o 3-4 years of recent, hands-on experience specifically designing, building, and deploying production-grade AI and Generative AI applications.
· Technical Acumen:
o Deep expertise in Prompt Engineering, RAG frameworks (e.g., LangChain, LlamaIndex) , and building Agentic systems .
o Comprehensive understanding of the data science and MLOps lifecycle leveraging platforms like Databricks, AWS and other open source platforms.
o Expertise with data lake platforms and modern data processing architectures.
o Strong proficiency in programming (e.g., Python) and cloud platforms (AWS, Azure).
· Leadership & Communication:
o Exceptional ability to communicate complex technical concepts and strategic vision to both executive audiences (CXOs) and technical teams.
o Proven ability to drive architectural decisions and manage trade-offs between speed, cost, and quality.
o Solution presentations to the senior leadership.
Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.
