Application Developer
- Atos
- 8 - 15 years
- Mumbai
- 4 months ago
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Job Description
Tech Architect AWS AI (Anthropic) Experience: -
10+ years of total IT experience, with a minimum of 8 years in AI/ML architecture and solution development.
Strong hands-on expertise in designing and building GenAI solutions using AWS services such as Amazon Bedrock, SageMaker, and Anthropic Claude models.
Location: Bangalore / Pune (flexible/hybrid on case-by-case basis)
Role Overview:-
- The Tech Architect AWS AI (Anthropic) will be responsible for translating AI solution requirements into scalable and secure AWS-native architectures.
- This role combines architectural leadership with hands-on technical depth in GenAI model integration, data pipelines, and deployment using Amazon Bedrock and Claude models.
- The ideal candidate will bridge the gap between strategic AI vision and engineering execution while ensuring alignment with enterprise cloud and security standards.
Key Responsibilities: -
- Design robust, scalable architectures for GenAI use cases using Amazon Bedrock and Anthropic Claude. Lead architectural decisions involving model orchestration, prompt optimization, RAG pipelines, and API integration.
- Define best practices for implementing AI workflows using SageMaker, Lambda, API Gateway, and Step Functions.
- Review and validate implementation approaches with tech leads and developers; ensure alignment with architecture blueprints.
- Contribute to client proposals, solution pitch decks, and technical sections of RFP/RFI responses.
- Ensure AI solutions meet enterprise requirements for security, privacy, compliance, and performance.
- Collaborate with cloud infrastructure, data engineering, and DevOps teams to ensure seamless deployment and monitoring.
- Stay updated on AWS Bedrock advancements, Claude model improvements, and best practices for GenAI governance.
Required Skills and Competencies: -
- Deep hands-on experience with Amazon Bedrock, Claude (Anthropic), Amazon Titan, and embedding-based workflows. Proficient in Python and cloud-native API development; experienced with JSON, RESTful integrations, and serverless orchestration.
- Strong understanding of SageMaker (model training, tuning, pipelines), real-time inference, and deployment strategies.
- Knowledge of RAG architectures, vector search (e.g., OpenSearch, Pinecone), and prompt engineering techniques. Expertise in IAM, encryption, access control, and responsible AI principles for secure AI deployments.
- Ability to create and communicate high-quality architectural diagrams and technical documentation. Desirable Qualifications: AWS Certified Machine Learning Specialty and/or AWS Certified Solutions Architect Professional.
- Familiarity with LangChain, Haystack, Semantic Kernel in AWS context. Experience with enterprise-grade GenAI use cases such as intelligent search, document summarization, conversational AI, and code copilots.
- Exposure to integrating third-party model APIs and services available via AWS Marketplace. Soft Skills: Strong articulation and technical storytelling capabilities for client and executive conversations.
- Proven leadership in cross-functional project environments with globally distributed teams. Analytical mindset with a focus on delivering reliable, maintainable, and performant AI solutions. Self-driven, curious, and continuously exploring innovations in GenAI and AWS services.
Our Offering:
- Global cutting-edge IT projects that shape the future of digital and have a positive impact on environment.
- Wellbeing programs & work-life balance - integration and passion sharing events.
- Attractive Salary and Company Initiative Benefits
- Courses and conferences.
- Attractive Salary.
- Hybrid work culture.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Full Stack DeveloperEmployement Type: Full timeContact Details:
Company: AtosLocation(s): Mumbai
Keyskills: Technical Architect orchestration Analytical Machine learning JSON AWS RFP Monitoring Python Technical documentation
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