AI Senior Automation Engineer

About the Company: We are a global consulting firm; we specialize in transforming businesses through innovative digital solutions. Our expertise spans across Process Improvement, Business Process Outsourcing, AI & Automation Solutions, and Captive Setup Services. Please visit www.navsan.com Role Overview The ideal candidate combines strong software engineering capabilities with deep expertise in AI-powered automation platforms, enterprise integration, DevSecOps practices, and scalable cloud architectures.

The engineer will work closely with cross-functional teams including AI architects, cloud engineers, cybersecurity specialists, infrastructure teams, and business stakeholders to deliver end-to-end automation solutions aligned with AIM (Advise, Implement, Manage) methodology. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field. 6+ years of experience in software engineering, automation engineering, or AI engineering roles. 3+ years of experience implementing enterprise automation solutions using AI/ML technologies. Strong programming skills in Python, Java, JavaScript, or C#.

Experience with workflow automation and orchestration platforms. Hands-on experience with REST APIs, microservices, and event-driven architectures. Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Strong understanding of DevOps, CI/CD, and Infrastructure as Code principles. Experience working with databases including SQL, NoSQL, and vector databases. Preferred Skills Experience with Generative AI frameworks such as LangChain, Semantic Kernel, or LlamaIndex.

Knowledge of LLM platforms including OpenAI, Azure OpenAI, Anthropic, or open-source LLMs. Experience with RPA platforms such as UiPath, Automation Anywhere, Power Automate. Familiarity with container orchestration technologies including Docker and Kubernetes.

Understanding of cybersecurity best practices and secure automation design. Experience with observability and monitoring tools such as Prometheus, Grafana, ELK, or Splunk. Exposure to enterprise IT environments including hybrid cloud and data center modernization initiatives.

AI governance, compliance, and responsible AI implementation knowledge. Key Responsibilities AI & Intelligent Automation Development Design and implement AI-driven automation workflows for enterprise business processes. Develop intelligent agents, copilots, chatbots, and workflow automation using Generative AI and LLM technologies.

Build scalable automation pipelines integrating AI, analytics, and enterprise systems. Create reusable automation frameworks, APIs, and orchestration components. Implement document intelligence, OCR, NLP, and computer vision automation solutions.

Enterprise Automation & Integration Integrate automation solutions with enterprise platforms such as ERP, CRM, ITSM, cloud platforms, and data systems. Develop event-driven and API-based integrations using modern middleware and integration frameworks. Automate infrastructure provisioning, CI/CD pipelines, cloud operations, and monitoring workflows.

Collaborate with infrastructure and cloud teams to modernize enterprise operations. AI Engineering & Data Solutions Deploy and optimize machine learning and Generative AI models in production environments. Implement Retrieval-Augmented Generation (RAG), vector databases, semantic search, and AI orchestration frameworks.

Fine-tune AI models and optimize prompt engineering strategies. Ensure responsible AI governance, model observability, and performance monitoring. Cloud & DevSecOps Automation Build automation solutions across AWS, Azure, Google Cloud, and hybrid cloud environments.

Implement Infrastructure as Code (IaC) using Terraform, Ansible, or CloudFormation. Automate security compliance, vulnerability remediation, and operational workflows. Support containerized and Kubernetes-based automation platforms.

Collaboration & Leadership Provide technical leadership and mentorship to automation and engineering teams. Conduct architecture reviews, code reviews, and technical assessments. Engage with clients and stakeholders to gather requirements and recommend AI automation strategies.

Participate in solution workshops, proofs of concept, and innovation initiatives. Soft Skills Strong analytical and problem-solving capabilities. Excellent communication and stakeholder management skills.

Ability to work in fast-paced enterprise transformation environments. Strong collaboration and leadership mindset. Passion for innovation, automation, and emerging AI technologies.

What Success Looks Like Successfully delivers scalable enterprise AI automation solutions. Reduces operational overhead through intelligent automation initiatives. Accelerates digital transformation outcomes for enterprise clients.

Improves reliability, security, and efficiency of enterprise operations. Contributes to innovation and AI modernization initiatives across the organization. Our Culture Innovation-driven work environment Collaborative and supportive team culture Strong emphasis on work-life balance Regular team-building activities