Solution Architect
Solution Architect
whitefield careersThis job is no longer accepting applications
Job Description
Solutions Architect - Emerging Technologies
Location: Thane
Employment Type: Full-Time
Experience: 5+ Years
Experience Level: Senior
Immediate to 15days
Role Overview
We are seeking a highly skilled Solutions Architect - Emerging Technologies to lead the design, development, and deployment of enterprise-grade, scalable, and secure solutions.
The ideal candidate will have strong expertise in Python and/or AI technologies, along with hands-on experience in cloud architecture, microservices, and modern DevOps practices.
You will play a strategic role in shaping our technology roadmap and delivering innovative solutions aligned with business objectives.
Key Responsibilities
Design and document end-to-end technical architecture for applications, integrations, AI solutions, and platforms.
Lead solution design for AI/ML-based systems, automation frameworks, and intelligent platforms.
Translate business requirements into scalable, high-performance technical solutions.
Provide technical leadership across the full Software Development Lifecycle (SDLC).
Evaluate and recommend adoption of emerging technologies including AI, Generative AI, cloud-native tools, and automation frameworks.
Define and enforce coding standards, architecture best practices, and governance frameworks.
Ensure systems meet security, performance, compliance, and regulatory standards.
Guide teams on cloud architecture (AWS/Azure/GCP), microservices, APIs, and distributed systems.
Oversee DevOps implementation including CI/CD, containerization, and infrastructure automation.
Mentor development teams and conduct architecture reviews.
Technical Skills Required
Strong proficiency in Python (mandatory) and/or AI frameworks
Experience with AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn (preferred)
Hands-on experience in building microservices and RESTful APIs
Strong understanding of cloud platforms (AWS / Azure / GCP)
Experience with containerization and orchestration (Docker, Kubernetes)
Knowledge of DevOps practices, CI/CD pipelines
Experience with databases (SQL & NoSQL)
Exposure to enterprise integrations and scalable system design
Qualifications
Bachelor's or Master's degree in Computer Science, IT, or related field
5+ years of experience in software development and solution architecture
Proven experience in leading enterprise or AI-driven projects
Excellent problem-solving and communication skills
Strong stakeholder management capabilities
Preferred Certifications (Good To Have)
TOGAF
AWS Solutions Architect
Azure Architect
AI/ML or Cloud Certifications
Location: Thane
Employment Type: Full-Time
Experience: 5+ Years
Experience Level: Senior
Immediate to 15days
Role Overview
We are seeking a highly skilled Solutions Architect - Emerging Technologies to lead the design, development, and deployment of enterprise-grade, scalable, and secure solutions.
The ideal candidate will have strong expertise in Python and/or AI technologies, along with hands-on experience in cloud architecture, microservices, and modern DevOps practices.
You will play a strategic role in shaping our technology roadmap and delivering innovative solutions aligned with business objectives.
Key Responsibilities
Design and document end-to-end technical architecture for applications, integrations, AI solutions, and platforms.
Lead solution design for AI/ML-based systems, automation frameworks, and intelligent platforms.
Translate business requirements into scalable, high-performance technical solutions.
Provide technical leadership across the full Software Development Lifecycle (SDLC).
Evaluate and recommend adoption of emerging technologies including AI, Generative AI, cloud-native tools, and automation frameworks.
Define and enforce coding standards, architecture best practices, and governance frameworks.
Ensure systems meet security, performance, compliance, and regulatory standards.
Guide teams on cloud architecture (AWS/Azure/GCP), microservices, APIs, and distributed systems.
Oversee DevOps implementation including CI/CD, containerization, and infrastructure automation.
Mentor development teams and conduct architecture reviews.
Technical Skills Required
Strong proficiency in Python (mandatory) and/or AI frameworks
Experience with AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn (preferred)
Hands-on experience in building microservices and RESTful APIs
Strong understanding of cloud platforms (AWS / Azure / GCP)
Experience with containerization and orchestration (Docker, Kubernetes)
Knowledge of DevOps practices, CI/CD pipelines
Experience with databases (SQL & NoSQL)
Exposure to enterprise integrations and scalable system design
Qualifications
Bachelor's or Master's degree in Computer Science, IT, or related field
5+ years of experience in software development and solution architecture
Proven experience in leading enterprise or AI-driven projects
Excellent problem-solving and communication skills
Strong stakeholder management capabilities
Preferred Certifications (Good To Have)
TOGAF
AWS Solutions Architect
Azure Architect
AI/ML or Cloud Certifications
More Info
Key Skills
AI frameworks
DevOps practices
CI CD pipelines
scalable system design
enterprise integrations
About Company
Skills:
Bash Scripting, Python Programming, Data Center Architecture, Orchestration tools, HPC AI clusters, Linux job workload schedulers, Monitoring solutions, Networking fundamentals
Skills:
Solution Architecture, Data Modelling, Distributed Systems, Cloud Architecture, Microservices, Devops, Databases, Docker, Security Compliance, Kubernetes, Core Banking Systems, API Architecture, Event-driven Systems, Risk Engines, Kyc
Skills:
Microservices, Application Performance, Ehr, Data Science, Design Patterns, Distributed Systems, Authentication, AWS, Apis, Devops, Cloud Architecture, Rest Apis, data exchange, asynchronous communication, CI CD, enterprise integrations, Analytics, Security, scalable application design, observability, synchronous communication, enterprise-scale applications, Monitoring, Messaging, operational automation, AI ML concepts, PMS, error handling
Skills:
data engineering , Python, Solution Architecture
Skills:
containerization , Cloud Architecture, Microservices, API Design, Database Management, Solution Design, Agile Methodologies, Technical Leadership, DevOps Practices, Security Best Practices