Software Development Specialist Advisor

 AWS & Cloud Architecture o Design and implement secure, scalable, and highly available cloud-native solutions on AWS. o Architect microservices-based and event-driven systems using AWS managed services. o Lead cloud migration, modernization, and optimization initiatives. o Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or CDK. o Define and enforce cloud security best practices (IAM, VPC, KMS, encryption, compliance). o Monitor and optimize performance, reliability, and cost (FinOps practices)  AI & Agentic AI Development o Design and develop AI-powered systems using LLMs and foundation models. o Build and deploy Agentic AI systems capable of planning, reasoning, tool usage, and autonomous decision-making. o Implement RAG (Retrieval-Augmented Generation) architectures. o Develop multi-agent systems with orchestration frameworks. o Integrate vector databases for semantic search and contextual memory. o Fine-tune or adapt foundation models where required. o Implement guardrails, safety, and observability mechanisms for AI systems.  Engineering & Delivery o Write production-grade, scalable, and maintainable code. o Lead technical design discussions and provide architectural guidance. o Conduct code reviews and mentor junior engineers. o Ensure CI/CD automation and DevOps best practices. o Drive DevSecOps practices in AI and cloud deployments. o Collaborate with business stakeholders to translate requirements into technical solutions. o Takes full ownership of design and delivery. o Focus on reliability, scalability, and security. o Engineering & Delivery o Write production-grade, scalable, and maintainable code. o Lead technical design discussions and provide architectural guidance. o Conduct code reviews and mentor junior engineers. o Ensure CI/CD automation and DevOps best practices. o Drive DevSecOps practices in AI and cloud deployments. o Collaborate with business stakeholders to translate requirements into technical solutions. AI / ML / Generative AI  LangChain / LlamaIndex or similar frameworks  OpenAI / Anthropic / Bedrock / other foundation models o Vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch, Aurora PostgreSQL pgvector) o Prompt engineering and evaluation techniques o Experience in developing multi-agent or autonomous AI systems Programming & Development o Strong proficiency in Python (mandatory) o Experience in building REST APIs (FastAPI / Flask) o Microservices architecture o Unit testing & integration testing practices o Knowledge of model fine-tuning, LoRA, PEFT techniques o Event-driven architecture (Kafka / SNS / SQS) o Experience in AI governance, responsible AI, model monitoring o Exposure to Data Engineering (Glue, Athena, Redshift) o Experience with frontend frameworks (React/Angular) for AI applications o Domain knowledge in BFSI / Healthcare / Retail / Manufacturing (customize as needed) o Understanding of embeddings, tokenization, context management o Ability to design end-to-end AI-driven cloud architecture. o Strong problem-solving and system-thinking mindset. o Ability to evaluate and select appropriate AI models and tools. o Innovation Mindset o Passion for emerging AI technologies. o Ability to experiment, prototype rapidly, and productionize effectively. o Continuous learner in AI/GenAI space. o Ability to articulate complex AI concepts to non-technical audiences. o Experience working in agile and cross-functional teams. o Minimum 10 to 12 years of relevant development o 3+ years of hands-on AWS architecture experience. o 2+ years of experience in Generative AI / LLM-based solution development. o Undergraduate or Graduate degree and minimum 10 to 12 years of relevant experience.  AWS Solutions Architect (Associate/Professional)  AWS DevOps Engineer  AWS Machine Learning Specialty (preferred)