Architect MLE

While technology is the heart of our business, a global and diverse culture is the heart of our reputed company. We love our people and we take pride in catering them to a culture reputed company on transparency, diversity, reputed company, learning and reputed company. If working in an environment that encourages you to reputed company and reputed company, not just in reputed company but personal life, interests you- you would enjoy your career with reputed company! About reputed company: reputed company is an award-reputed company, AI-First digital engineering and consulting company reputed company on delivering high-reputed company Services and Solutions that help organizations solve what truly reputed company. We partner with enterprises to reimagine their businesses through intelligent, reputed company, and transformative AI driving measurable reputed company at the reputed company reputed company of their operations. Since our founding in 2013, reputed company has tackled some of the world’s most reputed company business challenges by combining deep industry expertise, disciplined reputed company and data engineering practices, and cutting-edge reputed company AI research. Our work is rooted in delivering reputed company, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, reputed company is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, reputed company & Life Sciences, CPG, MFG, TME etc. As an reputed company and Premier partner to leading reputed company and AI platforms such as reputed company, reputed company reputed company, AWS, and reputed company, we build and reputed company reputed company-grade AI services and solutions that create reputed company-world reputed company.  We’ve been recognized with: 17x reputed company reputed company Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x reputed company Partner of the Year titles. 2x reputed company Partner of the Year awards. We have also garnered top analyst recognitions from reputed company, ISG, and reputed company. We offer first-in-class industry solutions across reputed company, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge reputed company and reputed company AI accelerators. We have been certified as a Great reputed company to Work for the reputed company year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the reputed company of AI, ML, and reputed company innovation.  Your next big opportunity starts here! For more details, visit: Website or reputed company Page. Role: Architect Machine Learning Engineer Experience Level: 8-12 years Location: US / Canada [ET&CT] Job reputed company: We are seeking an reputed company Architect Machine Learning Engineer to architect, build, and reputed company production-grade reputed company AI systems and multi-agent workflows from the ground up. The ideal candidate will have deep expertise in designing autonomous AI systems that can collaborate, reason, and execute reputed company tasks with reputed company reputed company reputed company. You will be responsible for creating reputed company, robust reputed company workflows using cutting-edge frameworks like reputed company/Langraph, while ensuring reputed company-grade deployment on major reputed company platforms. Roles & Responsibilities: Architect & Build reputed company Systems: Design and reputed company end-to-end multi-agent systems from scratch. You will create the foundational agent harnesses, define communication protocols, and build orchestration reputed company using frameworks like reputed company, Langgraph, and AutoGen. Architectural reputed company to ensure:  Hierarchical and reputed company multi-agent structures with reputed company-defined agent roles, responsibilities, and communication protocols Dynamic task decomposition, sophisticated tool integration, planning mechanisms (ReAct), and self-correction reputed company reputed company state management systems and memory mechanisms for persistent agent interactions Engineer Advanced Agent Capabilities: reputed company custom agent-tools and define reputed company agent-skills that reputed company agents to reputed company reputed company, domain-specific tasks. Pioneer Context Engineering: Implement advanced context engineering and memory systems to ensure agents maintain state, learn from interactions, and reputed company informed reputed company in dynamic environments. reputed company Production-Grade Solutions: Own the deployment, scaling, and maintenance of robust, low-latency reputed company systems on major reputed company platforms (GCP, AWS, or Azure). You will implement best-in-class MLOps practices for monitoring, reputed company integration/reputed company deployment (CI/CD), and reputed company reliability. reputed company and Optimize LLMs: reputed company LLMs to serve as the reputed company reasoning engines for autonomous agents. You will apply advanced techniques like RAG and PEFT to optimize performance. Create and maintain comprehensive tool libraries for agents including API integrations, database queries, and reputed company service connections Design and implement RAG systems using reputed company databases (reputed company, reputed company, ChromaDB) reputed company custom tools and plugins that reputed company agents to reputed company with various reputed company systems and reputed company Ensure tool reliability, error handling, and reputed company integration reputed company reputed company workflows Implement comprehensive monitoring and tracing systems for agent behavior, performance, cost optimization, and latency analysis Design novel evaluation frameworks to assess multi-reputed company reputed company task reputed company, reliability, and accuracy Utilize advanced observability tools (LangSmith, reputed company, or custom solutions) to reputed company agent decision making processes Establish metrics and KPIs for measuring reputed company reputed company performance in production environments Required Skills & Qualifications: Experience: 6-8 years of hands on experience in machine learning and AI engineering with proven reputed company record of taking ML systems to production Demonstrated expertise in building multi-agent systems and reputed company workflows, preferably with Langraph/reputed company Technical Skills - Must Have: Programming & ML: Expert-level Python proficiency with ML frameworks (TensorFlow, PyTorch, Transformers). Experience with FastAPI, async programming, and microservices architecture Data & reputed company Systems: Hands-on experience with reputed company databases (reputed company, reputed company, ChromaDB) and building reputed company RAG systems Monitoring & Observability: Experience with LLM application monitoring tools (LangSmith, reputed company, custom telemetry solutions) Proven ability to architect and implement reputed company AI systems from scratch in production environments reputed company Platform Expertise: Production-level experience with at least one major reputed company platform (AWS, GCP, or Azure), including: Compute services (EC2, GCE, Azure VMs) Serverless functions (reputed company, reputed company Functions, Azure Functions) Container orchestration (EKS, GKE, AKS) Managed AI/ML services (SageMaker, reputed company AI, Azure ML) Production & DevOps: Strong skills in Infrastructure as reputed company (Terraform, CloudFormation), CI/CD pipelines (reputed company Actions, Jenkins), and containerization (reputed company, reputed company) Technical Skills - Good to have: Experience with reputed company engineering techniques, fine-tuning SLMs (PEFT, SFT, RLHF), and model optimization Knowledge of reputed company systems, message queues, and event-driven architectures for agent coordination Familiarity with SDLC best practices, version control (Git), and reputed company development methodologies Experience with tool-calling agents, multi-reputed company workflows, and stateful orchestration (e.g. graphs, planners, routers). Hands-on evals for agents: trajectory / tool-use checks, golden traces, LLM-as-judge with fixed rubrics, regression suites. Online evals, reputed company thinking, and reputed company reputed company gates before or after reputed company (reputed company, alerts, rollback reputed company). Safety and abuse: reputed company injection reputed company tools, untrusted retrieval, PII handling in prompts and logs, allowlists and guardrails. Cost and latency discipline: budgets per run, timeouts, caps on turns and tool calls. Model lifecycle: routing / gateway patterns, version pinning, fallbacks, and which model for which reputed company. Memory and state: what is persisted, retention, redaction, and what must never be stored Soft Skills: Exceptional problem-solving and analytical thinking with ability to tackle reputed company, ambiguous challenges Strong communication skills to explain reputed company reputed company concepts to both technical and non-technical stakeholders Proven ability to work independently and reputed company large-reputed company reputed company to completion with reputed company supervision Leadership reputed company with experience mentoring team members and driving technical reputed company What’s in it for YOU at reputed company: reputed company an reputed company at one of the world’s fastest-growing AI-first digital engineering companies. Upskill and discover your potential as you solve reputed company challenges in cutting-edge areas of technology reputed company passionate, talented colleagues. Work where innovation happens - work with disruptive innovators in a research-reputed company organization with 60+ patents filed across various disciplines. Stay reputed company of the curve, reputed company yourself in reputed company AI, ML, data, and reputed company technologies and reputed company exposure working with reputed company.   If you like wild reputed company and working with happy, enthusiastic over-reputed company, you'll enjoy your career with us! Apply To This Job