{"id":2792341,"url":"https://alion.io/job/look4it-aws-solutions-architect-ai-implementations","title":"AWS Solutions Architect (AI Implementations)","company":{"id":930146,"name":"Look4It","domain":"look4it.gr","url":"https://alion.io/company/look4it","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":102000,"max_usd":219000,"period":"year","method":"global_role_seniority_cell","sample_n":1519},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CloudFormation","optional":false},{"name":"DynamoDB","optional":false},{"name":"Feature Store","optional":false},{"name":"GDPR","optional":false},{"name":"IAM","optional":false},{"name":"Terraform","optional":false},{"name":"AI Agents","optional":true},{"name":"Amazon CloudWatch","optional":true},{"name":"Docker","optional":true},{"name":"FinOps","optional":true},{"name":"Helm","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"MLFlow","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"RAG","optional":true},{"name":"Ray","optional":true}],"status":"live","first_seen_at":"2026-10-17T18:29:17Z","employer_posted_date":null,"last_verified_at":"2026-10-17T18:29:17Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"This is a remote position.A leading global IT consulting firm is growing its cloud and AI delivery capability to meet rapidly expanding client demand. We are looking for an experienced AWS Solutions Architect to join our expanding AI project teams — working across a portfolio of enterprise AI implementation engagements and helping our clients turn ambitious AI strategies into production-grade cloud reality.You will be the technical authority on AWS architecture within cross-functional delivery squads — designing solutions, guiding engineering teams, and acting as a trusted advisor to client stakeholders. The role spans multiple concurrent projects with varying domains, scales, and compliance requirements, so the ability to bring structure and clarity to complex situations is just as important as deep technical knowledge.\nWHAT YOU'LL BE DOING:\nDesigning end-to-end AWS architectures for AI and GenAI implementations across multiple client projects\n\nLeading architecture discovery workshops and Well-Architected Framework reviews with client teams\n\nSelecting and configuring the right AWS AI/ML services for each use case — Bedrock, SageMaker, Comprehend, Textract, and beyond\n\nDefining IaC standards and reviewing infrastructure implementations by engineering teams\n\nAdvising on data architecture — ingestion, storage, transformation, and access patterns optimised for AI workloads\n\nWorking with client security and compliance teams to ensure architectures meet regulatory and enterprise requirements\n\nContributing to pre-sales and solutioning — proposals, effort estimates, and client technical presentations where needed\n\nMentoring cloud engineers on the delivery team and conducting architecture and code reviews\n\nStaying current with the AWS AI/ML service roadmap and advising clients on relevant emerging capabilities\n\nRequirements\n\nProven AWS architecture experience at senior or lead level (5+ years hands-on, across multiple production environments) \n\nHands-on experience designing and implementing AI/ML solutions on AWS — Amazon SageMaker, Amazon Bedrock, or equivalent managed AI services\n\nDeep knowledge of AWS core services: compute (EC2, ECS, EKS, Lambda), storage (S3, EFS), databases (RDS, DynamoDB, Aurora), networking (VPC, API Gateway, CloudFront)\n\nExperience with Infrastructure as Code — Terraform, AWS CDK, or CloudFormation — with a production track record, not just familiarity\n\nUnderstanding of data architecture patterns for AI workloads: data lakes, streaming pipelines, feature stores, vector databases\n\nSecurity-first design mindset — IAM, VPC design, encryption, compliance with GDPR and common enterprise security frameworks\n\nAbility to work directly with clients: translating business requirements into architectural decisions and communicating them clearly to both technical teams and senior stakeholders\n\nEnglish proficiency at B2 or above (working language across international delivery teams and clients)\n\nNICE TO HAVE:\nAWS certification — Solutions Architect Professional, Machine Learning Specialty, or equivalent (valued but not a hard requirement)\n\nExperience with GenAI application architecture: LLM integration, RAG (Retrieval-Augmented Generation), agentic AI frameworks (LangChain, LangGraph) running on AWS infrastructure\n\nMLOps experience — model deployment pipelines, monitoring, drift detection, model versioning (SageMaker Pipelines, MLflow, etc.)\n\nMulti-account AWS architecture: AWS Organizations, Control Tower, landing zones\n\nCost optimisation expertise — FinOps practices, Reserved Instances, Savings Plans, rightsizing for AI/GPU workloads\n\nExperience in regulated industries: financial services, healthcare, or public sector — with associated compliance requirements\n\nContainerised AI workloads: Docker, Kubernetes (EKS), Helm\n\nObservability and monitoring: CloudWatch, AWS X-Ray, OpenTelemetry\n\nOriginally posted on Himalayas","description_format":"text","description_chars":3893,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-10-17T20:28:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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