Director of Software Development India, Alexa Ambient Computing Technologies

Interested in shaping the future of conversational and ambient AI at massive scale? Join the Alexa Ambient Computing Technologies (AACT) team. AACT's mission is to design, build, and operate the core horizontal Basic qualifications: • Bachelor's degree in computer science or related field. • 15+ years of software engineering experience. • 8+ years of demonstrated experience managing senior engineering managers. • Experience as a mentor, tech lead, or leading an engineering team. • Experience collaborating across multiple organizations and influencing key outcomes. • Experience as a technical leader of multiple concurrent projects, driving strategic technical decisions. • Understanding software engineering practices and best practices for the full software development life cycle including coding standards, build processes, testing, and operations. Preferred: • Master's degree in computer science or related field. • Demonstrated experience leading product and development teams, with a focus on customer service or user-facing technologies. • Experience in a lead role in bringing a product to market. • Proven track record of taking emerging technologies from research to production-ready solutions. • Familiarity with generative AI models and their application in customer interactions and process automation. • Excellent communication and stakeholder management skills. • AI Leadership Competencies -We expect a director at this level to be fluent in AI as both a product capability and an engineering multiplier. Specifically: o AI fluency and technical judgment — A working understanding of modern generative AI: LLMs, foundation models, prompting, fine-tuning/RAG, agents and tool use, evaluation, and inference optimization. Able to engage credibly with scientists and senior engineers, ask the right questions. o AI strategy and prioritization — Able to identify genuine, durable AI opportunities and to translate them into a prioritized, measurable roadmap tied to customer and business outcomes (latency, cost-per-interaction, trust). o Driving AI-assisted engineering productivity — Actively raises the leverage of the org by adopting AI-assisted development, review, testing, and operations. Sets expectations, mechanisms, and guardrails so teams use these tools effectively and consistently, and measures the impact on throughput and quality. o Cost, latency, and scale economics of AI — Understands the economics of inference at scale and drives the right tradeoffs across model selection, orchestration, caching, and infrastructure to keep experiences fast, reliable, and efficient. o Talent and culture for an AI-first org — Attracts, develops, and retains leaders and builders who thrive in an AI-native environment, and fosters a culture of experimentation, learning, and responsible innovation. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.