{"id":3214736,"url":"https://alion.io/job/azoca-technologies-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":4471758,"name":"Azoca Technologies","domain":"azoca.io","url":"https://alion.io/company/azoca-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"LLM","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2026-10-24T20:36:30Z","employer_posted_date":null,"last_verified_at":"2026-10-24T20:36:30Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"We are looking for a Senior AI Engineer with strong full-stack engineering and AI solution development expertise to architect, build, and scale enterprise-grade intelligent solutions. This role requires a blend of hands-on technical leadership, solution architecture, and AI implementation experience, with the ability to translate business requirements into secure, scalable, and production-ready applications.\n\nThe ideal candidate will bring deep expertise in AI-enabled software engineering, system integration, cloud-native development, and DevOps practices, with a strong focus on accelerated delivery through modern engineering methodologies, automation, and continuous improvement. Experience in deploying AI/ML models into enterprise environments, working across cross-functional teams, and driving innovation while maintaining governance, security, and long-term maintainability will be key to success.\n\nRequirements: \nYou have 5+ years of experience in software engineering, enterprise application development, or solution architecture, with hands-on exposure to AI/ML-driven solutions.\nYou bring strong development expertise in technologies such as Python, Java, TypeScript, or Go.\nYou have practical experience integrating AI or machine learning capabilities into enterprise applications or digital platforms.\nYou are comfortable working with cloud platforms such as AWS, Azure, or Google Cloud.\nYou understand APIs, microservices, distributed systems, containerization, and modern integration patterns.\nYou have experience using AI-assisted development tools and engineering productivity accelerators.\nYou bring strong experience with Agile delivery, DevOps 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engineering, or AI/ML, such as AWS/Azure/GCP Solutions Architect, TOGAF, or Certified Kubernetes Administrator, with exposure to Lean Six Sigma considered an advantage.\nExperience leading engineering transformation, automation initiatives, or enterprise modernization programs.\nDemonstrated passion for innovation through open-source contributions, experimentation with emerging technologies, or adoption of modern engineering practices.\nSkills\nAI, AWS, Azure, GCP, Go, Golang, Google Cloud, Java, ML, Python, TypeScript, machine 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