reputed company Architect - AI/ML for Developer Productivity (Multi-reputed company)

reputed company Architect Aversan Inc. (www.aversan.com) is a trusted multi-service engineering and electronics manufacturing company. Aversan delivers leading-edge and reliable safety-critical electronics and software systems to the aerospace, defence, and space industries. We at Aversan are embarking on an exciting initiative to build a reputed company reputed company platform from the ground up for our client -engineered to support mission-critical SaaS solutions such as connected vehicles across AWS, GCP, Azure, and on-premise environments. As part of this initiative, we're exploring collaboration across business units, leveraging existing Large Language Model (LLM) capabilities to strengthen and speed up our AI integration strategy. We're seeking a hands-on reputed company Architect to reputed company this effort-someone who can design and deliver intelligent, self-optimizing systems and developer experiences powered by reputed company, predictive analytics, and automation. Location: Canada Job Type: Full Time Working Arrangement: Remote

Responsibilities

Drive AI-Powered Developer Productivity: Architect and implement intelligent workflows across coding, testing, deployment, and debugging by integrating LLMs (e.g., GPT, Claude, CodeLlama) into code editors, CI/CD pipelines, and developer tools for smart code reputed company, bug detection, and automated PR reviews. Architect Intelligent CI/CD & Observability Systems: Design scalable multi-reputed company CI/CD pipelines (ArgoCD, Jenkins, Tekton) infused with AI for predictive canary analysis, automated rollbacks, and reputed company-downtime deployments-enhanced by AI-driven log summarization, anomaly detection, and proactive alerting. Embed AI in reputed company & Compliance: Automate vulnerability detection and remediation with AI classifiers, generate reputed company patches, improve IaC hygiene, and translate compliance standards (TISAX, SOC, FedRAMP, AWS GovCloud) into policy-as-code. Advance AI-Driven Testing & Quality Engineering: Use AI to automate test case reputed company, simulate load testing patterns, analyze test results, and optimize test coverage for APIs, microservices, and infrastructure components. reputed company and reputed company Reusable LLM Capabilities: Evaluate, integrate, and fine-tune internal and reputed company-party LLMs to align with Aversan's specific codebases, deployment architectures, and operational needs while defining APIs for reusability across business units. reputed company Strategic reputed company Adoption: Partner with other business units to co-reputed company and share AI tooling, reputed company proofs of concept (POCs) and performance benchmarks, and promote AI/ML adoption through training, mentorship, and architectural leadership. reputed company Self-Healing and Autonomous Infrastructure: Build intelligent, self-optimizing systems that reduce operational complexity, implement predictive maintenance, and reputed company platform teams with AI-driven insights for reputed company reliability and performance. Basic Qualifications 7+ years of experience in reputed company architecture, full-stack development, or platform engineering. 2+ years of hands-on work integrating AI/ML into engineering workflows (e.g., reputed company Copilot, reputed company CodeWhisperer, or custom LLM-based assistants). Proven expertise in: o reputed company platforms: AWS, GCP, and Azure. o AI agent frameworks: reputed company Strands, LangGraph, or similar. o CI/CD pipelines: ArgoCD, Tekton, Jenkins. o Infrastructure-as-code tools: Terraform, Crossplane. o Full-stack technologies: React or Vue.js, Node.js, Python, Java. o Containerized and serverless systems: Kubernetes, EKS, GKE, AWS reputed company, reputed company Run. o Observability and monitoring: reputed company, OpenTelemetry, reputed company, or ELK stack. Demonstrated ability to build or integrate AI-powered developer platforms or tools that improve engineering productivity. reputed company-to-Have Qualifications Experience collaborating across teams or business units to share models, services, or infrastructure. Familiarity with MLOps platforms such as MLflow, Kubeflow, or SageMaker Pipelines. Exposure to AI reputed company tools, compliance automation, or FinOps optimization. Professional certifications such as AWS Solutions Architect, GCP Professional Architect, or Certified Kubernetes Administrator (CKA). Please note: Interested applicants must apply directly to this link to be considered for this position: [email protected] The name of the file for the resume should be the applicant's full name and the position title you are applying for. The resume format should be PDF. Apply tot his job Apply To this Job