Solutions Architect – AWS AI/ML, Data & Cloud Modernization

Posted Aug 20

This is a fully remote position, open to applicants in United States, +5 more locations.

πŸ“‹ Description

β€’ Facilitate technical discovery sessions to identify customer requirements, infrastructure limitations, and modernization objectives.

β€’ Act as the trusted technical expert in client discussions, clearly communicating architectural trade-offs related to AWS GenAI, data, and cloud migrations.

β€’ Collaborate with Account Executives on AWS co-selling initiatives to assess technical compatibility, define use cases, and establish client trust.

β€’ Create comprehensive Well-Architected AWS reference diagrams that encompass GenAI, modern data platforms, and agentic workflows.

β€’ Establish cloud migration and database modernization strategies utilizing rehost, replatform, or refactor methodologies.

β€’ Assess implementation risks, application sequencing, and adhere to security and compliance standards.

β€’ Generate AWS cost estimates using the AWS Pricing Calculator and pinpoint optimization opportunities.

β€’ Prepare technical scopes, implementation timelines, and delivery assumptions for Statements of Work (SOWs) and client proposals.

β€’ Offer technical inputs for AWS funding initiatives in collaboration with Account Executives.

β€’ Work alongside internal engineering teams to ensure solution feasibility and alignment with delivery goals.

β€’ Execute technical handoffs to delivery teams with well-documented architectures, migration assumptions, and risk logs.


⛳️ Requirements

β€’ Over 5 years of experience in a Solutions Architect, Pre-Sales Consultant, or Cloud Architect position within a consulting setting.

β€’ Extensive knowledge of AWS services, particularly in AI/ML (Bedrock, SageMaker), data platforms (Redshift, Glue), and migration services.

β€’ Demonstrated capability to construct SOWs, compute AWS pricing models, and convey complex architectural decisions to executive stakeholders.

β€’ Active AWS Certified Solutions Architect (Professional) or AWS Machine Learning Specialty certification is preferred.


🏝️ Benefits

β€’ Paid Time Off

β€’ Remote-First Working Environment

β€’ Comprehensive Health Coverage – Medical, Dental, Vision

β€’ 401(k) Retirement Plan

β€’ Annual Learning & Development Stipend

β€’ Peer Mentorship & Coaching

β€’ Professional Growth Opportunities

β€’ Company Outings & Volunteer Opportunities

β€’ Collaborative, Innovative Culture

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