PUNE · FULLTIME
Solutions Architect Engineer
Ellicium Solutions Private Limited
Pune · onsite · Posted 51d ago
Sourced from
Undisclosed10–15 yrsfulltimePune
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Section · 01
About this role
Experience: 10-15 years
Location: Pune, India
Job Summary
We are looking for a highly experienced Solutions Architect / ML Systems Engineer responsible for owning the end-to-end technical architecture and delivery of complex ML/LLM-based solutions. The role requires strong breadth across application architecture, ML/LLM systems, cloud, infrastructure, performance engineering, security, and enterprise deployments.
We are looking for a highly experienced Solutions Architect / ML Systems Engineer responsible for owning the end-to-end technical architecture and delivery of complex ML/LLM-based solutions. The role requires strong breadth across application architecture, ML/LLM systems, cloud, infrastructure, performance engineering, security, and enterprise deployments.
Key Responsibilities
- Own the end-to-end technical architecture and solution design for enterprise-grade ML/LLM solutions.
- Design multiple solution architectures based on business, technical, scalability, security, and performance requirements.
- Ability to co-work with Agentic AI model, Optimizing processes agnatically [agentic optimizing engineering].
- Define technical approaches covering application development, infrastructure, deployment, testing, and operational considerations.
- Work closely with customers and engineering teams to understand requirements and translate them into scalable technical solutions.
- Design solutions for both on-premises/data-center and public-cloud environments.
- Architect containerized deployments and cloud-native solutions.
- Define and address non-functional requirements, including performance, scalability, availability, reliability, and security.
- Provide technical ownership across the complete solution lifecycle, from initial architecture through implementation and deployment.
- Evaluate technology choices, architecture patterns, and deployment models.
- Work on performance engineering and performance optimization of ML/LLM systems.
- Ensure appropriate quality standards, testing approaches, KPIs, and engineering practices are incorporated into the solution.
- Support multiple enterprise solution implementations and pilots.
- Must be available for on-call support as needed
- Ability to collaborate effectively with Agentic AI models
- Capability to optimize repetitive processes and workflows using agentic/autonomous engineering approaches
Required Technical Skills
- Strong hands-on experience with ML Systems Engineering / MLOps / LLMOps.
- Practical experience deploying and operating LLM applications at scale.
- Strong understanding of RAG, AI/LLM application architecture, prompt injection, security, guardrails, and observability.
- Experience with LLM infrastructure and supporting technologies.
- Strong understanding of containers, Kubernetes, CI/CD and DevOps practices.
- Experience with public cloud platforms such as AWS, Azure or GCP.
- Understanding of on-premises, cloud, hybrid-cloud and data-center deployments.
- Strong knowledge of performance engineering and non-functional requirements.
- Understanding of enterprise-grade security and deployment considerations.
Preferred / Differentiating Experience
- Experience working on B2B enterprise products/platforms.
- Experience with products supporting both data-center and cloud deployment models.
- Exposure to AI accelerators / AI hardware.
- Experience working with semiconductor/AI platforms or simulation environments.
- Experience designing solutions for enterprise customers.
Soft Skills
- Excellent customer-facing and stakeholder-management skills.
- Strong architectural thinking and problem-solving ability.
- Ability to communicate complex technical concepts to technical and business stakeholders.
- Strong ownership and ability to drive solutions independently.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
performance engineeringTechnical ArchitectureSimulationgoogle cloud platformapplication architecturesemiconductorcloudStakeholder ManagementoperationsApplication Development
Section · Company
About Ellicium Solutions
Ellicium Solutions Private Limited
Financial Services
1k+
employees
2013
13 years old
Pune, Maharashtra
India
₹8.9L PA avg
Avg at Ellicium Solutions
About
Emergys drives digital transformation through AI, Enterprise Service Management, and modern applications, fostering innovation and collaboration to deliver measurable business outcomes.
Industries
Financial Services
Employee ratings
10 reviews
3.8/ 5
Culture
3.5
Career growth
2.7
Work-life
3.7
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