Job Description
Role: AI/ML Solution Architect - Capital Markets Domain
Experience: 8 to 15 yrs
Location: Mumbai, Pune, Noida, Chennai, Bangalore, Ahmedabad and Coimbatore
Notice period: Immediate to 30 days
CANDIDATES MUST BE FROM CAPITAL MARKET DOMAIN BACKGROUND
Interested candidates, please reach out to
The Solution Architect will be responsible for designing and implementing scalable, secure, and future ready technology solutions for global clients. This role demands deep expertise in emerging technologies such as AIML, Cloud native architectures, Edge Computing, Blockchain, Io T, and Quantum ready systems, while ensuring alignment with enterprise standards and business objectives. Key Responsibilities Architectural Design Strategy
o Design cloud native, distributed architectures leveraging AWS, Azure, or GCP.
o Develop AIML integration strategies and guide teams on MLOps best practices.
o Create quantum resistant and zero trust security architectures.
o Evaluate and incorporate sustainable computing practices into solutions. Technology Leadership o Lead technical decision-making for enterprise scale solutions.
o Provide thought leadership on emerging technologies and innovation trends.
o Collaborate with cross functional teams to ensure architectural consistency. Solution Delivery
o Translate business requirements into technical blueprints and system specifications.
o Oversee implementation and integration of complex IT solutions.
o Ensure compliance with global security and regulatory standards. Innovation Continuous Improvement
o Drive proofofconcepts (POCs) for new technologies like blockchain, edge computing, and Io T.
o Optimize systems for carbon neutral computing initiatives. Required Skills Qualifications Education: Masters in Computer Science Engineering or equivalent.
Experience: 10 years in solution architecture with at least 3 years in emerging tech.
Technical Expertise:
o Cloud platforms: AWS, Azure, GCP.
o AIML frameworks and deployment (Tensor Flow, Py Torch, MLOps).
o Microservices, API design, and integration patterns.
o Blockchain and distributed ledger technologies.
o Edge computing and Io T architecture.
Experience: 8 to 15 yrs
Location: Mumbai, Pune, Noida, Chennai, Bangalore, Ahmedabad and Coimbatore
Notice period: Immediate to 30 days
CANDIDATES MUST BE FROM CAPITAL MARKET DOMAIN BACKGROUND
Interested candidates, please reach out to
The Solution Architect will be responsible for designing and implementing scalable, secure, and future ready technology solutions for global clients. This role demands deep expertise in emerging technologies such as AIML, Cloud native architectures, Edge Computing, Blockchain, Io T, and Quantum ready systems, while ensuring alignment with enterprise standards and business objectives. Key Responsibilities Architectural Design Strategy
o Design cloud native, distributed architectures leveraging AWS, Azure, or GCP.
o Develop AIML integration strategies and guide teams on MLOps best practices.
o Create quantum resistant and zero trust security architectures.
o Evaluate and incorporate sustainable computing practices into solutions. Technology Leadership o Lead technical decision-making for enterprise scale solutions.
o Provide thought leadership on emerging technologies and innovation trends.
o Collaborate with cross functional teams to ensure architectural consistency. Solution Delivery
o Translate business requirements into technical blueprints and system specifications.
o Oversee implementation and integration of complex IT solutions.
o Ensure compliance with global security and regulatory standards. Innovation Continuous Improvement
o Drive proofofconcepts (POCs) for new technologies like blockchain, edge computing, and Io T.
o Optimize systems for carbon neutral computing initiatives. Required Skills Qualifications Education: Masters in Computer Science Engineering or equivalent.
Experience: 10 years in solution architecture with at least 3 years in emerging tech.
Technical Expertise:
o Cloud platforms: AWS, Azure, GCP.
o AIML frameworks and deployment (Tensor Flow, Py Torch, MLOps).
o Microservices, API design, and integration patterns.
o Blockchain and distributed ledger technologies.
o Edge computing and Io T architecture.
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