Chief Technical Architect, Engineering (IC Role)

Jobgether; India; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Jobgether seeks an accomplished Chief Technical Architect, IC, to define the long-term technology direction for an enterprise SaaS platform and its Agentic AI capabilities. You will shape a multi-year architecture roadmap, establish engineering standards, and influence decisions across a broad organization while mentoring senior engineers.

You will lead architectural initiatives spanning cloud-native systems, data infrastructure, and production AI, partnering with executives to turn strategic

Qualifications

• 15+ years of professional software engineering experience.
• 5+ years in an architect or principal-level role (Chief Architect/Distinguished Engineer).
• Experience in a product-led SaaS org with architecture across multiple teams.
• Influence across 50+ engineers.
• Deep cloud-native, distributed and data architectures expertise.
• Hands-on with generative AI/Agentic AI systems (LLM orchestration, RAG, vector DBs).
• Proficiency in Java, Python, Scala, Go or Node.js.
• Enterprise governance for software quality, performance, security and data privacy.
• Proven impact: uptime, latency, cost, scalability, delivery.
• Willingness to travel internationally; Pune, India on-site.

Responsibilities

• Define 3–5 year technology strategy and architecture roadmap with CTO and product leadership.
• Own the architecture of large-scale SaaS platforms, multi-tenant and multi-region.
• Establish architectural principles and guardrails for reliability, security, cost.
• Lead AI platform architecture (generative/Agentic AI, LLM orchestration, RAG).
• Guide data platforms, streaming, lakehouse, analytics, SQL/NoSQL.
• Establish architecture review forums and governance processes.
• Identify risks, bottlenecks, and cross-team conflicts; drive solutions.
• Lead build-versus-buy, evaluations, and PoCs across cloud infra and AI tooling.
• Evaluate tech investments via TCO, scalability, and business value.
• Translate business ideas into practical technical designs for delivery.
• Mentor principal engineers and emerging architects; share knowledge.
• Partner with product, engineering, QA, DevOps, and SRE to align priorities.
• Communicate complex tech concepts to execs, customers, and partners.
• Establish measurable outcomes to improve platform quality and delivery speed.

Skills

Cloud-native architecture

Distributed computing

Microservices

Event-driven systems

LLM orchestration

RAG pipelines

Vector databases

AI observability

Java

Python

Scala

Go

Node.js

Architecture governance

Stakeholder management

Communication

Strategic judgment

Bonus: ERP/Supply chain

Willingness to travel

On-site Pune, India

Education

Bachelor's or Master's in CS/IT/Engineering

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Chief Technical Architect, Engineering (IC Role) based in India.

We are seeking an accomplished technical architect to define the long-term technology direction of an enterprise-scale SaaS platform and its next generation of Agentic AI capabilities. In this senior individual contributor role, you will shape a multi-year architecture roadmap, establish engineering standards, and influence technical decisions across a broad engineering organization. You will lead architectural initiatives spanning cloud-native systems, distributed platforms, modern data infrastructure, and production-grade generative AI. Working closely with executive and product leadership, you will turn strategic priorities into scalable, secure, and cost-effective technical solutions. You will also mentor principal engineers, resolve complex architectural challenges, and foster alignment across teams without relying on direct managerial authority. This is an opportunity to make a significant technical impact while advancing intelligent manufacturing and supply chain technology.

Accountabilities

• Define and communicate a three-to-five-year technology strategy and architecture roadmap in collaboration with the CTO and product leadership.

• Own the architecture of large-scale SaaS platforms, including multi-tenant and multi-region services, clear service boundaries, and shared platform capabilities.

• Establish architectural principles and technical guardrails that optimize reliability, performance, security, scalability, and infrastructure costs.

• Lead the architecture of generative AI and Agentic AI platforms, covering large language model (LLM) orchestration, retrieval-augmented generation (RAG), vector search, evaluation pipelines, observability, and model governance.

• Guide the evolution of data platforms and infrastructure, including streaming architectures, lakehouse solutions, analytics capabilities, and SQL/NoSQL systems.

• Establish and facilitate architecture review forums, design standards, technical governance processes, and technical-debt prioritization initiatives.

• Identify and resolve systemic technical risks, performance bottlenecks, architectural inconsistencies, and cross-team engineering conflicts.

• Lead build-versus-buy assessments, technology evaluations, proofs of concept, and vendor decisions across cloud infrastructure, data platforms, AI tooling, and observability solutions.

• Evaluate technology investments using total cost of ownership (TCO), unit economics, scalability, and long-term business value.

• Translate ambiguous business and product ideas into clear technical designs that engineering teams can implement efficiently, balancing customer needs, technical feasibility, and organizational constraints.

• Mentor principal engineers and emerging architects through architecture reviews, technical guidance, and knowledge sharing, strengthening the organization's technical leadership capabilities.

• Partner with product executives, engineering leaders, QA, DevOps, and Site Reliability Engineering (SRE) teams to align priorities and drive architecture decisions.

• Communicate complex technical concepts and trade-offs clearly to executive stakeholders, customers, partners, and engineering teams.

• Establish measurable technical outcomes and continuously improve platform quality, delivery speed, resilience, and operational efficiency.

Requirements:

• Bachelor's or master's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.

• 15+ years of professional software engineering experience, including at least five years in an architect or principal-level role, such as Chief Architect, Distinguished Engineer, Senior Principal Engineer, Head of Architecture, or an equivalent position.

• Significant experience working in a product-led organization, ideally within a SaaS business, with responsibility for architecture across multiple teams or platform areas.

• Demonstrated ability to influence large engineering organizations, including experience shaping technical direction across 50 or more engineers.

• Deep expertise in cloud-native architecture, distributed computing, microservices, event-driven systems, and modern data architectures.

• Hands‑on experience designing and delivering production‑grade generative AI or Agentic AI systems, including LLM orchestration, RAG pipelines, vector databases, evaluation frameworks, and AI observability.

• Strong software engineering fundamentals, including data structures, algorithms, object‑oriented programming, and modern development practices.

• Working proficiency in one or more modern programming languages, such as Java, Python, Scala, Go, or Node.js, with recent experience participating in technical design and code reviews.

• Proven ability to establish enterprise‑level governance for software quality, performance, resilience, security, and data privacy.

• A strong track record of measurable technical impact, demonstrated through outcomes such as improved uptime, reduced latency, lower infrastructure costs, increased scalability, or faster delivery.

• Experience with platform consolidation, cloud migration, or transforming monolithic systems into scalable platform architectures is a strong advantage.

• Excellent strategic judgment and problem‑solving skills, with the ability to evaluate emerging technologies and make data‑informed architectural decisions.

• Strong influencing, communication, and stakeholder management skills, including the ability to build consensus across teams without direct reporting authority.

• A proactive and adaptable mindset, with the ability to anticipate technical and organizational risks and identify opportunities for innovation.

• Experience in ERP, supply chain, or manufacturing software is preferred. Patents, technical publications, conference presentations, or other external technical recognition are additional advantages.

• Willingness to travel internationally when required.

• Location requirement: This is an on‑site opportunity in Pune, India, with three to four days per week in the office. Candidates must be willing to be based in Pune.

Benefits:

• Competitive compensation: Salary packages are determined by experience, technical expertise, and the skills required for the role.

• Strategic technical ownership: Shape the architecture and long‑term technology direction of an enterprise SaaS platform and its Agentic AI roadmap.

• Executive exposure: Work directly with senior leadership on major technology decisions and long‑term platform strategy.

• Career development: Access structured mentorship and training opportunities designed to support professional growth.

• Collaborative culture: Join an environment that values knowledge sharing, teamwork, innovation, and contributions regardless of organizational level.

• Health and well‑being: Access programs designed to support employee well‑being and a healthy work‑life balance.

• Growth opportunities: Contribute to a growing business undergoing technological expansion and transformation.

• Meaningful technical impact: Influence architecture and engineering practices across multiple product areas without transitioning into a people‑management role.

• Inclusive workplace: Work in an environment that values diverse perspectives, equal opportunity, and professional development.