Chief Technical Architect, Engineering (IC Role)

Jobgether; United States; Remote; USD 44,000 - 74,000; Full time

Benefits offered by this job

Competitive compensation

Executive exposure

Career development

Health and well-being

Job summary

Jobgether in Pune, India, seeks a senior architect to define a 3–5 year technology strategy and lead the architecture of large-scale SaaS and AI platforms. You will establish guardrails for reliability, security, and cost while guiding cross-functional teams in implementing scalable, cloud-native solutions.

You will drive LLM orchestration, RAG pipelines, vector databases, and observability, partnering with CTO, product leadership, and SRE to ensure governance and measurable impact on uptime and

Qualifications

• Extensive experience architecting large-scale SaaS platforms.
• Proven track record influencing engineering organizations across 50+ engineers.
• Hands-on design and delivery of production-grade generative AI/Agentic AI systems.

Responsibilities

• Define and communicate a 3–5 year technology strategy and roadmap.
• Own architecture of multi-tenant, multi-region SaaS platforms.
• Establish architectural guardrails for reliability, performance, security, and cost.

Skills

Cloud architecture

Microservices

Distributed systems

LLM orchestration

Stakeholder management

Technical leadership

Code reviews

Education

Bachelor's/Master's in CS or related

Tools

AWS

GCP

Azure

Kubernetes

Terraform

Job description

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.