{"id":3132597,"url":"https://alion.io/job/ara-resources-llm-architect-aiml","title":"LLM Architect - AI/ML","company":{"id":3800628,"name":"ARA Resources","domain":"araresources.com","url":"https://alion.io/company/ara-resources","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":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Bengaluru, India","Pune, India","Delhi, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":{"min":2200000,"max":3500000,"currency":"INR","period":"year","gross":true,"usd_annual":37013},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"AI Agents","optional":true},{"name":"CI/CD","optional":true},{"name":"Computer Vision","optional":true},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLMOps","optional":true},{"name":"Machine Learning","optional":true},{"name":"Multimodal AI","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-23T03:56:51Z","employer_posted_date":null,"last_verified_at":"2026-10-23T03:56:51Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Role Summary : \n\nDesign and develop production-ready AI/ML solutions using LLMs, Generative AI, NLP, deep learning, and cloud AI services. Act as a technical SME, collaborate across teams, and drive scalable AI solutions from design through deployment.\n\nKey Responsibilities : \n\n- Design, develop, and deploy scalable, production-ready AI/ML and GenAI solutions.\n\n- Build and integrate LLM-based applications, NLP solutions, and cloud AI services.\n\n- Collaborate with cross-functional teams to define solutions and drive key technical decisions.\n\n- Troubleshoot complex AI/ML challenges and provide effective solutions across teams.\n\n- Provide technical guidance, mentoring, and knowledge sharing to team members.\n\n- Monitor solution performance, quality, and project progress to ensure successful delivery.\n\nMust-Have Qualifications : \n\n- 8+ years of overall professional experience, with substantial hands-on AI/ML engineering experience.\n\n- Strong hands-on experience with Large Language Models (LLMs) and GenAI.\n\n- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.\n\n- Experience with NLP and cloud platforms such as AWS, Azure, or GCP.\n\n- Experience building scalable, production-ready AI solutions.\n\n- Strong technical leadership and problem-solving skills.\n\nNice to Have : \n\n- Experience with RAG, embeddings, and vector databases.\n\n- Knowledge of LLM fine-tuning, AI agents, or LLMOps/MLOps.\n\n- Experience with Docker, Kubernetes, and CI/CD.\n\n- Exposure to multimodal AI, computer vision, or image processing.\n\nBehavioral Competencies : \n\n- Strong problem-solving and analytical skills.\n\n- Effective communication and collaboration.\n\n- Technical leadership and decision-making.\n\n- Ownership and accountability.\n\n- Mentoring and knowledge sharing.\n\nWhy Join Us : \n\n- Work on enterprise-scale AI and Generative AI initiatives.\n\n- Solve complex business problems using emerging LLM and cloud AI technologies.\n\n- Work alongside multidisciplinary engineering and technology teams.\n\n- Influence AI solution architecture and production engineering practices.\n\n- Build expertise across LLMs, GenAI, cloud, NLP, deep learning, and AI engineering.\n\n- Contribute to a culture of continuous learning, innovation, collaboration, and knowledge sharing.\nSkills\nArtificial Intelligence, Machine Learning, Python, Generative AI, NLP, PyTorch, Tensorflow, AWS, LLM, Deep Learning, MLOps","description_format":"text","description_chars":2407,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Enterprise Apps Implementation Partners","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-10-23T04:30:20Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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