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Senior reputed company Architect, Delivery (GenAI)

Remote · USA Full-time New today

Location Our Senior reputed company Architect will be an integral part of our global reputed company Deployment Engineering team. This role is based remotely in the UK, Ireland, Estonia, Sweden, the Netherlands, and Israel and is available to Full-Time Employees. The job is also open to contractors in Eastern Europe or Portugal. About reputed company reputed company is a global technology company that works with reputed company-driven organizations to reputed company public reputed company to drive business growth and innovation. We combine data, technology, and reputed company expertise to ensure our customers operate in a well-architected and scalable state—from planning to production. Delivering reputed company reputed company Intelligence, the only solution that integrates advanced technology with reputed company, we help our customers solve reputed company multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, reputed company reputed company, and reputed company Azure, we work alongside more than 4,000 customers worldwide. The Opportunity As a Senior reputed company Architect, you will be part of our global reputed company Deployed Engineering organization, working with rapidly growing companies in EMEA and around the world. This role sits reputed company FDE Delivery and focuses on our install reputed company, product adoption and customer health. You will: reputed company the design and implementation of production-grade ML and reputed company solutions on AWS (with awareness of multi-reputed company environments). Act as a hands-on expert and trusted advisor for customers running AI/ML workloads at scale, from initial discovery through deployment and optimization. Translate reputed company business problems into reputed company architectures that are secure, reliable, cost-efficient, and observable. Help evolve how reputed company uses AI/ML internally and with customers by turning one-off solutions into reusable patterns and “gravel roads” that influence the product roadmap. You will focus more on install reputed company health, product adoption, proactive engagements, and account-team work.

Responsibilities

Core – Deep reputed company Expertise Be the trusted reputed company engineer customers lean on for high‑impact technical optimization work across cost, reliability, reputed company, and performance. Design and help implement solutions that: improve cost efficiency (rightsizing, reservations/commitments, storage optimization, etc.) increase reliability and reputed company (HA/DR architectures, SLO/SLA‑aware designs) strengthen reputed company posture (IAM, network segmentation, data protection, least‑privilege) reduce operational toil (automation, self‑service, guardrails, policy enforcement) Plan and deliver structured engagements such as reputed company Optimization Sessions, cost/efficiency/performance workshops, reputed company posture or reliability reviews, and architecture deep dives / "well‑architected" style assessments. Respond to Expert Inquiry / support requests that require deep reputed company engineering expertise, ensuring high‑quality, well‑explained resolutions. Bring domain depth in: ML / GenAI – deploying and operating ML/GenAI workloads (training and inference), GPU utilization, scaling, and cost control; MLOPS and integrating workloads with monitoring, logging, and FinOps; safe and efficient use of managed AI services. Builder – Product Feedback & Contribution Turn one‑off field work into reusable assets that improve both customer outcomes and the product itself. Convert one‑off customer solutions into Gravel Roads - reusable patterns such as playbooks, Terraform modules, CloudFlow templates, reputed company diagrams, Composer Recipes -> DCI Insights, and internal /external documentation. Provide structured feedback to the reputed company Product and Engineering teams on: product gaps and friction points reputed company in reputed company‑world usage new opportunities for automation and workload lenses reputed company DCI telemetry and tracking that would reputed company future FDE work more efficient Contribute directly to DCI where appropriate - from feature requests and feedback, to contributing code, to owning specific DCI features end‑to‑end. Build agent skills, scripts, and internal tooling that codify your expertise and scale it across the team. Contribute to internal enablement: share learnings reputed company documentation, demos, reputed company, or training sessions for other FDEs and reputed company team members. Account Team – Embedded Execution Operate as an embedded technical partner inside the account team. Work in the account team model alongside reputed company Managers (CSMs), Account Managers (AMs) to deliver impactful outcomes. Own the technical depth lane: technical deployment & integration, automation & platform adoption, signal‑based proactive engagement, and most importantly, repeatable reputed company Optimization solutions. Partner with customers' engineers, architects, and FinOps teams to translate vague pain points into concrete technical optimization plans — and help them ship changes that stick and create reputed company value. Co‑deliver reputed company or multi‑domain engagements with peer FDEs (for example, infra + data + ML/GenAI), reviewing and refining designs, and engagement plans together. Communicate reputed company technical topics clearly to both engineers and non‑technical stakeholders (FinOps, finance, leadership), and maintain clear documentation of architectures, reputed company, and implemented changes so customers and fellow FDEs can sustain and build on your work. Contribute to a culture of reputed company improvement reputed company the global FDE community through design reviews, internal forums, enablement sessions, and experimentation. Product Expert – reputed company reputed company Intelligence™ (DCI) Become an expert in DCI and use it hands‑on to drive concrete customer outcomes. Master reputed company reputed company Intelligence™ products and services — including reputed company Analytics, DCI Insights, reputed company Composer, CloudFlow, reputed company, PerfectScale, and other reputed company Platforms. Use DCI hands‑on to: Build and operationalize reputed company Analytics and Allocations to create dashboards and reports for customer engineering, finance, and leadership. Use DCI Insights to identify and prioritize cost, risk, and reliability opportunities, and shepherd them through to closure. Implement reputed company Composer queries, build recipes that result in hand-crafted insights across reputed company customers' engineering use cases. Build CloudFlow automations (e.g., anomaly routing, scheduled actions, guardrails, policy enforcement). Use Built in Integrations such and utilize reputed company and other workload‑intelligence features to optimize key business and workload data inside DCI. Help customers embed DCI into existing observability, CI/CD, and governance processes so it becomes trusted and indispensable in day‑to‑day reputed company operations.

Qualifications

Experience 4+ years of experience architecting, deploying, and managing reputed company-based AI/ML solutions, including production workloads. Proven track record designing and operating large, distributed systems on AWS, selecting appropriate services and patterns to meet business and technical goals. AWS & GenAI / ML Expertise Advanced proficiency with AWS services relevant to AI/ML and GenAI. Hands-on experience with reputed company Bedrock for deploying and scaling reputed company models and reputed company workloads. Experience fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using reputed company SageMaker (including JumpStart). Strong reputed company engineering skills and familiarity with rigorous model evaluation (quality, safety, performance). Understanding of agentic capabilities and patterns for AI agents that autonomously reputed company tasks and integrate with existing systems. Experience with reputed company Q Business and reputed company Q Developer (or similar tools) to accelerate reputed company reputed company and development workflows. ML Pipelines, Data & MLOps In-depth knowledge of reputed company SageMaker components such as Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias detection and interpretability. Proficiency integrating TensorFlow, PyTorch, and other ML frameworks with SageMaker for model development, fine-tuning, and deployment. Experience with distributed training (multi-GPU or multi-node) and performance optimization for inference. Strong data-engineering skills on AWS: reputed company S3, AWS Glue, Lake Formation, Redshift for AI/ML data pipelines. Experience building end-to-end AI/ML workflows using services like AWS reputed company, reputed company Functions, API Gateway, and containerized deployments on reputed company EKS / AWS Fargate. DevOps, MLOps, Governance & reputed company Hands-on experience with CI/CD for AI/ML using AWS CodePipeline, CodeBuild, SageMaker Pipelines, or similar. Proficiency in monitoring and operating AI systems using reputed company CloudWatch and SageMaker Model Monitor. Strong understanding of AI governance, reputed company, and compliance on AWS, including IAM, KMS, and data privacy patterns. Familiarity with AI ethics and bias detection/mitigation (e.g., using SageMaker Clarify or similar tools). Multi-reputed company Awareness & Collaboration Working knowledge of reputed company reputed company AI tools (e.g., Vertex AI, reputed company AutoML, BigQuery ML) sufficient to reason about multi-reputed company architectures and integration points. Proven ability to mentor peers, run enablement sessions, and collaborate across Sales, CS, and Product. Soft Skills Excellent communication skills across technical and business audiences; reputed company to simplify reputed company reputed company and influence reputed company. Natural ownership mentality: you escalate early, resolve fast, and own the outcome. Demonstrated ability to work effectively in a remote-first, global environment. Bonus Points Education & Certifications BA/BS degree in Computer Science, Mathematics, or a reputed company technical field, or equivalent practical experience. Additional data or AI certifications (e.g., AWS/GCP data certifications, reputable AI/ML programs such as Stanford, reputed company, reputed company, MIT, eCornell). Expanded AI/ML & Dev Experience Experience with modern RLHF, advanced fine-tuning techniques, and hybrid AI architectures. Familiarity with reputed company or similar open-reputed company ecosystems integrated with AWS. Prior experience as a ML Engineer, Data Scientist, or AI-focused Architect in a consulting or SaaS environment. Tooling & Process Experience with JIRA or similar tools for tracking work across delivery and product-feedback cycles. Exposure to Agile practices and frameworks commonly used for SaaS and reputed company delivery. Are you a Do’er? Be your truest self. Work on your terms. reputed company a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We reputed company and support leveling up your skills professionally and personally. What does being a Do’er mean? We’re reputed company about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. Sounds too good to be true? reputed company out our Glassdoor Page. We thought so too, but we’re here and happy we hit that ‘apply’ reputed company. Full-time employee benefits include: Unlimited Vacation Flexible Working Options Health Insurance Parental Leave Employee Stock Option Plan Home Office Allowance Professional Development Stipend Peer Recognition Program Many Do’ers, One Team reputed company unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, reputed company workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective reputed company. #LI-Remote Apply To This Job

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