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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and deploying AI systems, with a strong focus on software engineering principles, cloud-native solutions in GCP and AWS, and end-to-end management of AI workflows. Proven ability to influence technical direction and improve developer productivity through innovative AI applications.
Highest-signal resume keywords
AI/ML Solution DesignCloud-Native Architecture in GCP/AWSSoftware Engineering in Java, Python, GoDevOps and CI/CD PracticesTechnical Leadership and Mentorship
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
AI/ML Solution DesignCloud-Native ArchitectureSoftware Engineering in JavaSoftware Engineering in PythonSoftware Engineering in GoDevOps PracticesCI/CD ImplementationAI Security ConsiderationsObservability and MonitoringSystem Design for Large-Scale Systems
Soft Skills
Technical JudgmentCross-Functional InfluenceProblem-Solving
Tools & Technologies
GCPAWSAI Evaluation FrameworksInfrastructure as CodeDeveloper ToolingAPIs
Industry Keywords
Production-Scale SystemsEnd-to-End Software Development LifecycleAgentic AI SystemsGenerative AIAI-Enabled Application Architectures
Tech Stack
Tools & technologiesAWSCloudGoogle Cloud PlatformJavaPythonSDLCGo
About the role
Key responsibilities & impact- Architect, build, deploy, and operate production-grade AI systems and agentic workflows across the SDLC and broader business processes
- Design scalable internal platform capabilities enabling safe and efficient adoption of AI-powered automation
- Own solutions end-to-end from problem definition and architecture through implementation, deployment, observability, security, scaling, and ongoing operation
- Build integrations between AI models, agents, developer tooling, internal platforms, enterprise systems, APIs, data sources, and engineering workflows
- Apply software engineering principles including modular architecture, testing, reliability, performance, maintainability, and fault tolerance
- Design AI evaluation, observability, quality measurement, failure handling, and continuous improvement approaches
- Make architectural and technology decisions based on business outcomes, engineering constraints, risk, and total cost of ownership
- Design and operate cloud-native production workloads in GCP and/or AWS
- Partner with infrastructure, DevOps, security, architecture, and engineering teams on reusable patterns, technical standards, and operational guardrails
- Identify opportunities to improve developer workflows across the end-to-end SDLC using AI
- Evaluate emerging AI models, frameworks, agent architectures, and developer technologies
- Provide Staff-level technical leadership through architecture reviews, design decisions, technical mentorship, and cross-team influence
- Translate ambiguous business and engineering problems into technical strategies and executable solutions, measuring impact through production data, user feedback, and business results
Requirements
What you’ll need- 10+ years of professional software engineering experience designing, building, and operating complex production-scale systems
- Hands-on experience designing and building AI/ML or generative AI solutions that reached production and/or delivered measurable business outcomes
- Strong software architecture and system design skills for distributed or large-scale systems
- Strong programming and software engineering fundamentals in Java, Python, Go, or equivalent production languages
- Hands-on experience with LLMs, generative AI, AI agents, or AI-enabled application architectures
- Experience taking AI solutions into deployment, operationalization, monitoring, security, reliability, and scale
- Deep hands-on experience with GCP and/or AWS
- Strong understanding of DevOps, CI/CD, infrastructure as code, observability, reliability, and production operations
- Strong understanding of application, infrastructure, data, and AI security considerations
- Strong understanding of the end-to-end software development lifecycle, developer workflows, and large software systems and codebases
- Ability to evaluate technical trade-offs and select technologies based on business outcomes, operational requirements, and maintainability
- Strong technical judgment in ambiguous, cross-functional problem spaces
- Ability to influence technical direction across teams without relying solely on organizational authority
- Preferred: experience designing or implementing agentic AI systems, multi-step AI workflows, tool-using agents, or autonomous/semi-autonomous engineering workflows
- Preferred: experience applying AI to developer productivity, software engineering, code generation, testing, code review, incident management, or other SDLC stages
- Preferred: experience building internal developer platforms, engineering productivity platforms, or enterprise automation capabilities
- Preferred: experience with AI evaluation frameworks, model/agent observability, prompt and context management, retrieval architectures, and production AI quality measurement
- Preferred: experience spanning traditional software engineering and AI engineering
- Preferred: experience driving technical initiatives across multiple teams, systems, or organizational domains
Benefits
Comp & perks- Medical insurance coverage for employees, spouse, and up to two dependent children, with coverage up to 500,000 INR
- Medical insurance coverage for parents or in-laws, up to 300,000 INR
- Group Term and Group Personal Accident Insurance
- Employee-only accident insurance with coverage of 3 times annual CTC, minimum INR 10,00,000 cap
- Free Cover Limit of 1.5 Crore
- 15 days of Privilege leave per calendar year
- 6 days of Paid Sick leave per calendar year
- 6 days of Casual leave per calendar year
- 26 weeks of paid Maternity leave
- 1 week of Paternity leave
- Paid birthday leave
- Paid holidays
- Provident Fund and Gratuity
- Employee Assistance Program
- Comprehensive wellness initiatives
- Ongoing learning and development opportunities
- Career advancement opportunities