Technical Architect for AI-Driven Engineering

1 day ago

Vizag, Andhra Pradesh, India beBeeSoftware Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title

Staff Software Engineer - Technical Leadership Role

We are seeking an experienced Staff Software Engineer to serve as a trusted technical leader, domain-level architect, and mentor across teams. This role will drive technical direction, cross-team execution, and elevate the engineering bar by creating scalable systems, shaping engineering culture, and championing AI-first innovation.

About Us

We are a global technology company driving the future of artificial intelligence with a bold mission to empower businesses worldwide. Our team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini.

Job Description
  • Serve as a domain-level architect, defining reusable patterns, frameworks, and best practices across teams.
  • Lead large-scale, cross-functional engineering initiatives that align technical roadmaps with strategic business outcomes.
  • Own critical technical decisions across multiple domains, ensuring long-term platform scalability, performance, and reliability.
  • Champion adoption of observability, testing, security, and quality standards throughout the organization.
  • Mentor engineers at all levels, fostering technical leadership capacity across the org.
  • Guide adoption of AI-first practices, enabling teams to leverage AI accelerators, LLMs, and automation to increase efficiency.
Required Skills and Qualifications
  • Backend Development (Expert): Python, Java, C#, or Golang with strong knowledge of distributed systems and scalable architectures.
  • Data & Messaging (Advanced): Kafka, RabbitMQ, Redis, PostgreSQL, MongoDB.
  • Cloud Technologies (Proficient): AWS, GCP, Azure, CI/CD pipelines (GitHub Actions, GitLab CI, Bamboo).
  • System Design & Architecture: Microservices, Domain-driven design, Event-driven architecture, Reusable frameworks, Shared libraries.
  • AI & Innovation (Preferred): Adoption of AI accelerators, RAG, LLMs, Vector Databases, AI-first engineering practices.
Benefits
  • Best-in-class packages.
  • Paid holidays and flexible time off.
  • Casual dress code & flexible working environment.
  • Work in an engaging, fast-paced environment with ample opportunities for professional growth.
  • Medical insurance covering self & family up to 4 lakhs per person.

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