{"id":2811787,"url":"https://alion.io/job/tech-mahindra-generative-ai-ai-engineer","title":"Generative AI / AI Engineer","company":{"id":5484,"name":"Tech Mahindra","domain":"techmahindra.com","url":"https://alion.io/company/tech-mahindra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":110000,"max_usd":220000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":844},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BERT","optional":false},{"name":"Claude","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"FAISS","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"GPT-4","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LoRA","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenSearch","optional":false},{"name":"PEFT","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"QLoRA","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-10-18T09:41:58Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-22T10:08:55Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Description\n\nSkill Set :\nAI and Gen AI Architecture\n\nTotal Experience :\n10.00 to 15.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n11/09/2026\n\nJob Expiry Date :\n30/11/2026\n\nDomain :\nIT\n\nLocation :\nPLANO [United States]\n\nJob Reference No :\n4106848\n\nJob Summary\nPosition - Generative AI / AI Engineer\nLocation - Plano Texas\nGenerative AI / AI Engineer with 10+ years of AI/ML experience\nMust have hands on expertise in LLMs, NLP, RAG, Agentic AI, and enterprise AI automation.\nStrong experience with GPT 4, Claude, LLaMA, Mistral, BERT, T5, Hugging Face, OpenAI APIs.\nAbility to design and deploy RAG solutions using vector databases like FAISS, Pinecone, Weaviate, OpenSearch, or Elasticsearch.\nMust have built AI chatbots, copilots, virtual assistants, and document intelligence solutions for enterprise use cases.\nExperience in fine tuning and optimization using LoRA, QLoRA, PEFT, instruction tuning, prompt engineering, and model quantization.\nStrong MLOps and production deployment experience using MLflow, Kubeflow, Airflow, Docker, Kubernetes, Azure ML, AWS SageMaker, or GCP Vertex AI.\nShould be capable of building real time AI/ML pipelines using Spark, Kafka, Databricks, Snowflake, Python, and FastAPI.\nMust be able to convert business problems into AI use cases across fraud, compliance, customer support, knowledge search, document processing, and automation.\nShould have strong stakeholder facing ability to work with executives, product owners, architects, and delivery teams to drive GenAI adoption responsibly\nThe pay range for this role is $110,000- $120,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.\n“Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. 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