AWS Solution Architect with AI

Project Description:

We are seeking a highly experienced Solution Architect to design, guide, and govern scalable software solutions across the organization—ranging from individual components to fully integrated enterprise platforms.

This role requires strong expertise in AWS cloud technologies, AI infrastructure, and advanced AI governance practices, ensuring solutions align with business strategy, security standards, and responsible AI policies.

Responsibilities

:Architecture & Solution Desig

• nDesign end-to-end architectures spanning
• :o Component-level services (microservices, APIs
• )o Domain platform
• so Enterprise-wide ecosystem
• sDefine architecture patterns, standards, and reusable framework
• sTranslate business requirements into scalable and secure technical solution
• sEnsure interoperability across systems, data layers, AI services, and platform

s
Enterprise Architecture Strate

• gyDevelop and maintain enterprise architecture roadma
• psAlign IT strategy with business goals and digital transformation initiativ
• esEstablish governance models (TOGAF/SAFe or simila
• r)Lead architecture review boards and technical decision-making process

es
Cloud Architecture (A

• WS)Architect and optimize cloud-native and hybrid solutions using AWS servi
• cesDefine cloud migration strategies and modernization approac
• hesEnsure high availability, resiliency, cost optimization, and performa
• nceImplement Infrastructure-as-Code and automation best practi

ces
AI, Data & Intelligent Systems Architec

• tureDesign AI/ML infrastructure, pipelines, and enterprise integration patt
• ernsArchitect solutions incorporating LLMs, generative AI, and intelligent ag
• entsGuide adoption of AI technologies within enterprise platforms and prod
• uctsEstablish patterns
• for:o RAG (Retrieval-Augmented Generat
• ion)o Feature stores and data pipel
• ineso Model deployment, versioning, and sca

ling
AI Governance, Observability & Co

• ntrolDefine and implement enterprise AI governance frameworks cove
• ring:o Responsible AI usage (fairness, bias mitigation, explainabi
• lity)o Data privacy, lineage, and compl
• ianceo AI risk classification and policy enforc
• ementEstablish AI observability and monitoring capabilities, inclu
• ding:o End-to-end tracing of AI/ML and LLM flows using tools such as OpenTele
• metryo Monitoring of prompts, responses, latency, and model behavior using platforms like Langfuse or equiv
• alento Metrics for model performance, drift, hallucination rates, and usage pat
• ternsDesign and enforce agent governance and control mechanisms, inclu
• ding:o Monitoring and auditing of autonomous and semi-autonomous AI a
• gentso Guardrails for agent behavior, tool usage, and decision bound
• arieso Human-in-the-loop (HITL) workflows and escalation pat
• ternso Policy-based control over agent actions and integra
• tionsImplement AI lifecycle governance, inclu
• ding:o Model validation, approval workflows, and audit t
• railso Continuous evaluation and feedback
• loopso Secure model and prompt manag

ement
Cross-Disciplinary Architecture Lead

• ershipAct as a strategic liaison across Semantic, Data, and ML architecture d
• omainsFacilitate alignment between knowledge graphs, ontologies, data platforms, and ML s
• ystemsProvide architectural guidance to specialized architects, ensuring cohesive enterprise integ
• rationBridge gaps between business semantics, data engineering, and machine learning pip

elines
Security, Compliance & Gov

• ernanceEnsure architectures meet enterprise security standards (e.g., Zero
• Trust)Define policies for data governance, access control, and audit
• abilityAlign AI and cloud solutions with regulatory and compliance fra

meworks
Collaboration & Le

• adershipWork with engineering, product, data, and AI teams to align s
• olutionsMentor architects and senior e
• ngineersAct as a trusted advisor to leadership and stak

eholders
Mandatory Skills Des

cription:Core Arc

• hitecture8-12+ years in software engineering and architect
• ure rolesProven experience designing large-scale distribute

d systems
Strong kno

• wledge of:Microservices and event-driven arc
• hitecturesAPI management and in
• tegrationsEnterprise integration patte

rns (EIPs)
AWS T

• echnologiesCompute &
• ContainersAmazon EC2,
• AWS LambdaAmazon ECS / EKS (

Kubernetes)
Networking &

• IntegrationAmazon VPC, Route 53,
• API GatewayAWS App Mesh, EventBrid

ge, SNS, SQS
Data

• & StorageAmazon S3,
• EBS, GlacierAmazon RDS, Aurora, Dynam

oDB, Redshift
DevOps &a

• mp; AutomationAWS CloudFormation / C
• DK / TerraformAWS CodePipeline, CodeBui

ld, CodeDeplo

• y
  ObservabilityAmazon CloudW

atch, AW

• S X-Ray
  SecurityAWS IAM, Cognito, KMS,
• Secrets ManagerAWS Organizations a

nd Control Tower
AI/ML, LLM & Observ

• ability ExpertiseExperience with
• AWS AI/ML stack:o
• Amazon SageMakero Amazon Bedrock (LLMs & f
• oundation models)o AWS Glu

e, Lake Formation
Hands-o

• n experience with:LLM-based architectures and a
• gent-based systemsAI observability tools (e.g., OpenTelemetry, Langfuse, P
• rometheus/Grafana)Prompt lifecycle management and ev

aluation pipelines
Stron

• g understanding of:AI governance frameworks and ent
• erprise AI controlsAgent orchestration, monitor
• ing, and guardrailsData lineage, qual

ity, and compliance
Architecture Framew

• orks & PracticesTOGAF or equivalent enterprise arc
• hitecture frameworksDomain
• -driven design (DDD)Cloud-native and

serverless

• patterns
  Soft SkillsStrong communication and s
• takeholder managementStrategic thinking with han
• ds-on technical depthAbility to influence senior leadership and c
• ross-functional teamsMentorship and le

adership capabilities
Nice-to-Ha

• ve Skills Description:AWS Certified Solutions Ar
• chitect - ProfessionalAWS Specialty Certifications (Machi
• ne Learning, Security)Experience implementing enterprise AI
• governance frameworksBackground i
• n regulated industriesExposure to multi-cloud
• or hybrid environmentsExperience integrating data, semantic