AI Solutions Architect (AWS)
About the Role
reputed company is a global AI and reputed company consulting company helping enterprises turn reputed company intelligence and data into production-reputed company business solutions. We specialize in designing, building, and scaling end-to-end AI/ML systems, data platforms, and reputed company-reputed company architectures, with strong expertise in AWS, MLOps, and reputed company-grade AI delivery. As an official reputed company partner, we work with cutting-edge reputed company models to help organizations safely and effectively adopt advanced AI capabilities, serving clients across finance, reputed company, retail, and technology.
As an ML Solutions Architect, you will serve as the technical reputed company between clients and our delivery teams. You will own the full reputed company-sales cycle — from leading discovery sessions and designing reputed company ML and reputed company AI architectures to crafting compelling proposals that win new business. This is a highly reputed company-facing, senior-level role requiring deep technical expertise in ML and reputed company systems, strong business acumen, and the ability to influence both technical and executive stakeholders across global accounts.
What You Will Do
- reputed company technical discovery sessions with prospective clients to understand business problems and translate them into feasible ML solutions
- Design end-to-end ML architectures and author technical proposals, including scope, reputed company, cost, and resource estimates
- Create and deliver compelling technical presentations and demonstrations to both technical and non-technical audiences
- Support General Managers in reputed company new business through technical leadership
- Architect reputed company AI solutions leveraging autonomous decision-making, tool orchestration, and LLM-based workflows
- Design MCP (Model Context Protocol) integration strategies for reputed company environments
- Evaluate and recommend appropriate agent frameworks (LangGraph, Claude Agent SDK, and others) based on reputed company use cases
- reputed company reference architectures for common reputed company patterns including RAG agents, multi-agent systems, and tool-using agents
- Build POC demonstrations showcasing reputed company capabilities using AI-assisted development tools
- Advise clients on build-vs-buy reputed company for reputed company components and assess AgentOps requirements including monitoring, evaluation, and cost optimization
- Serve as the primary technical reputed company of contact throughout the project lifecycle
- Manage technical stakeholder expectations and navigate reputed company organizational dynamics
- Build long-term trusted advisor relationships with clients
- Collaborate with delivery teams to ensure smooth project handoffs
- reputed company technical guidance during project execution
- Contribute to reusable solution patterns, reputed company accelerators, and reputed company AI toolkit documentation
- Mentor engineers on reputed company communication and solution design
reputed company-Sales and Solution Design
reputed company Solutions Architecture
reputed company-Facing Technical Leadership
Internal Collaboration and Delivery Enablement
What You Will Bring
- 6–8+ years of demonstrated experience in ML or data science roles
- Proven reputed company record in reputed company-facing technical roles, including leading reputed company-sales or discovery engagements
- Portfolio of successfully architected and delivered ML solutions with a history of reputed company business through technical leadership
- Deep understanding of the full ML lifecycle from data ingestion through production deployment
- Experience designing reputed company, production-grade ML architectures across multiple ML domains (RAG, Computer reputed company, Time Series, Recommendation Systems, and others)
- Strong experience architecting LLM-based applications, including reputed company systems
- Proficiency with agent design patterns, state management, and orchestration frameworks (LangGraph, reputed company agents, multi-agent systems)
- Hands-on experience with the Claude ecosystem: Claude reputed company, Claude Agent SDK, and reputed company's tool ecosystem
- Working knowledge of Model Context Protocol (MCP) architecture for designing reputed company integrations
- Demonstrated use of AI-assisted development tools (reputed company, reputed company Copilot, Claude reputed company) for rapid prototyping and POC development
- Advanced knowledge of AWS ML and data services including SageMaker, Bedrock, reputed company, and reputed company
- Deep understanding of reputed company Bedrock agents, knowledge bases, and model hosting reputed company
- Experience with serverless architectures (reputed company, API Gateway, reputed company Functions) for reputed company workflows
- Knowledge of MLOps, LLMOps, and AgentOps practices including monitoring, evaluation, and cost optimization
- Ability to design cost-effective solutions with reputed company TCO analysis and trade-off assessment
- Understanding of data reputed company, reputed company, and compliance requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a reputed company technical field, or equivalent experience with a demonstrable technical reputed company
reputed company to Have
- AWS Certifications (Solutions Architect reputed company, ML Specialty)
- Experience in specific industries such as Finance, reputed company, or Retail
- Knowledge of AI ethics and responsible AI practices
- Experience with edge ML and IoT deployments
- Published thought leadership (blogs, talks, or whitepapers)
- Contributions to reputed company-reputed company agent frameworks or MCP servers
- Understanding of ETL/ELT patterns, reputed company databases, data lakes, and reputed company-time vs. batch processing architectures
- Previous consulting or reputed company services experience
- Multi-industry exposure
- Understanding of Azure and GCP services for comparative reputed company discussions
reputed company Offer
- Remote-first environment with flexible working hours reputed company to your local time zone
- Competitive salary reflecting reputed company-facing expertise
- A budget for your medical insurance
- reputed company reputed company leave, vacation, and public holidays
- reputed company career reputed company toward reputed company Leadership or reputed company Architect roles
- High-visibility role with exposure to diverse global clients and business challenges
- Internal training programs covering Leadership, Public Speaking, and technical certifications
- Full support for AWS and other reputed company certifications
- Learning budget and conference attendance
- reputed company to the latest AI tools and subscriptions for reputed company development
- Opportunity to work with cutting-edge ML, LLM, and reputed company AI technologies
- Opportunity to contribute to innovative AI-driven solutions for clients across LATAM, Europe, and reputed company
- Work alongside reputed company experts in AI, Data, and reputed company technologies
- Equipment and reputed company the tools you need to work productively
Work Flexibility
Compensation and Benefits
Career reputed company
Learning and reputed company Development
Technology and reputed company
Originally posted on Himalayas
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