{"id":1944047,"url":"https://alion.io/job/geeksoft-consulting-aws-connect-platform-ai-engineer","title":"AWS Connect Platform AI Engineer","company":{"id":20414,"name":"GeekSoft Consulting","domain":"geeksoftconsulting.com","url":"https://alion.io/company/geeksoft-consulting","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, 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Guardrails","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"TCP/IP","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-06T02:39:58Z","employer_posted_date":null,"last_verified_at":"2026-10-06T02:39:58Z","board_verified":false,"closed_at":null,"days_open":16,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":16},"description":"Help design, build and continuously improve the clients online platform. \n\nResearch, suggest and implement new technology solutions following best practices/standards. \n\nTake responsibility for the resiliency and availability of different products. \n\nBe a productive member of the team. \n\nLocation: Chennai, Bangalore\n\nRequirements\n\n7+ years of overall IT/software engineering experience, including at least 3 years of hands-on Amazon Connect and contact center experience. \n\nExperienced AWS Connect AI Engineer to design, develop, enhance, and support cloud-based contact center solutions using Amazon Connect and AWS services. \n\nStrong hands-on engineering skills with contact center domain expertise to deliver scalable, secure, highly available customer engagement platforms and production-grade GenAI/LLM capabilities for conversational self-service and real-time agent assistance. \n\nDesign, develop, configure, and maintain Amazon Connect solutions, including contact flows, routing profiles, queues, prompts, operating hours, agents, and security configurations. \n\nBuild conversational and self-service experiences using Amazon Lex V2 for voice and chat use cases. \n\nDesign and implement GenAI/LLM-powered solutions using Amazon Connect AI agents and Amazon Bedrock, including agentic self-service, real-time agent assistance, RAG, knowledge bases, prompts, tools/actions, and human handoff. \n\nConfigure and optimize Amazon Lex V2 assisted NLU for intent classification and slot resolution, including Primary and Fallback modes. \n\nBuild and evaluate real-time conversational voice experiences using Amazon Nova Sonic and Amazon Connect agentic voice capabilities. \n\nImplement responsible AI practices covering guardrails, PII/data handling, access control, evaluation, observability, cost management, and incident response. \n\nDevelop serverless integrations using AWS Lambda, API Gateway, S3, and DynamoDB. \n\nDevelop production-grade automation and integration components using Python and TypeScript. \n\nIntegrate Amazon Connect with CRM systems, enterprise applications, APIs, and third-party platforms. \n\nImplement Terraform-based Infrastructure as Code for repeatable and auditable AWS deployments. \n\nBuild and maintain CI/CD pipelines across development, testing, and production environments. \n\nApply AWS best practices for IAM, security, logging, monitoring, resiliency, and high availability. \n\nTroubleshoot complex platform and integration issues, perform root-cause analysis, and implement permanent fixes. \n\nCollaborate with architects, product owners, developers, operations teams, and contact center stakeholders to translate business requirements into technical solutions. \n\nMaintain technical documentation, runbooks, deployment procedures, and platform standards. \n\nContribute to platform modernization, automation, performance optimization, and continuous improvement. \n\nStrong expertise in Amazon Connect, including contact flows, routing, queues, agents, security profiles, and troubleshooting. \n\nHands-on experience with Amazon Lex V2, Lambda, API Gateway, S3, and DynamoDB. \n\nHands-on experience with Amazon Bedrock and Amazon Connect AI agents, including agentic assistance/self-service, prompt configuration, knowledge bases, RAG, guardrails, and tool/API actions. \n\nExperience configuring and testing Lex V2 assisted NLU, including intent classification, slot resolution, Primary/Fallback modes, confidence thresholds, and bot test sets. \n\nExperience with real-time conversational voice AI using Amazon Nova Sonic and/or Amazon Connect agentic voice. \n\nUnderstanding of AI-agent evaluation metrics such as task completion, containment, intent accuracy, groundedness, hallucination risk, latency, cost, and customer/agent outcomes. \n\nStrong Python programming skills and working experience with TypeScript. \n\nExperience with REST APIs, cloud integrations, CI/CD, Terraform, and Infrastructure as Code. \n\nGood understanding of AWS IAM, CloudWatch, logging, monitoring, security, and high-availability architecture. \n\nStrong understanding of contact center concepts including IVR, call routing, queue management, agent experience, and customer journeys. \n\nExperience working in Agile/Scrum environments. \n\nStrong analytical, troubleshooting, communication, and stakeholder-management skills. \n\nKnowledge of PSTN, SIP, DID/toll-free numbers, call routing, codecs, and voice connectivity. \n\nUnderstanding of DNS, TCP/IP, firewalls, security groups, VPCs, subnets, routing, VPNs, and private connectivity. \n\nExperience integrating Amazon Connect with CRM, workforce management, analytics, call recording, or reporting platforms. \n\nExposure to EventBridge, SNS, SQS, Kinesis, or CloudFormation. \n\nKnowledge of Amazon Bedrock Knowledge Bases, Guardrails, vector search, model/prompt evaluation, responsible AI, and GenAI security. \n\nRelevant AWS or cloud/contact-center certifications. \n\nHands-on engineer capable of independently owning technical design, development, deployment, and production support. \n\nComfortable working across both Amazon Connect platform configuration and custom software integrations. \n\nAble to translate contact center business processes into reliable and user-friendly technical solutions. \n\nCapable of balancing deterministic contact flows with AI-driven automation, while applying appropriate human oversight and measurable quality controls. \n\nStrong focus on automation, maintainability, security, performance, and operational excellence.\n\nBenefits\n\nA challenging, innovating environment. \n\nOpportunities for learning where needed.","description_format":"text","description_chars":5582,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation"],"lifecycle":[{"event":"open","at":"2026-10-06T05:09:30Z"}],"visa":[],"liveness":{"score":62,"band":"ok","label":"Likely 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