Navsan
Website:
navsan.com
Company:
https://www.linkedin.com/company/navsan
Seniority: Mid-Senior level
Industries: IT Services and IT Consulting and Information Services
Job details:
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
Click on Apply to know more.
