Top Artificial Intelligence Jobs in Chennai

Leads data engineering teams and provides technical direction for scalable, reliable data platforms and solutions. Oversees Agile delivery, backlog planning, operational support, quality standards, technical debt reduction, and stakeholder communication. Coaches engineers, sets performance goals, drives innovation, and guides adoption of data, cloud, containerization, DevOps, artificial intelligence, and machine learning technologies.

Analyze, develop, and execute integration test cases for network systems. Prepare and validate scripts and configurations, troubleshoot issues, perform integration and migration tasks, and maintain accurate operating system, hardware, software, licensing, and configuration data. The role also involves project scoping, cost and time estimation, process adherence, service delivery, stakeholder management, data security, privacy, and compliance with environmental, occupational health, safety, legal, and financial requirements.

Provides systems safety engineering for aircraft turbine engines and power systems. Conducts hazard, reliability, and root cause analyses; develops safety requirements, plans, procedures, and reports; reviews designs for regulatory compliance; manages requirements using DOORS; supports certification and qualification; collaborates cross-functionally on risk mitigation, reliability metrics, process automation, and AI-enabled safety improvements.

Provides technical leadership for FAA and EASA certification and qualification of aircraft turbine engines and auxiliary power units. Prepares and reviews certification and qualification plans, reports, and related artifacts; coordinates with aviation regulators; standardizes and improves certification processes; and applies automation and artificial intelligence to reduce cycle time and cost. Supports systems engineering activities, talent development, technical coaching, and innovation across Honeywell Aerospace programs.

Supports budgeting, forecasting, scenario planning, workforce planning, and cost optimization for the India organization and broader finance team. Maintains financial models, monitors performance metrics, evaluates strategic initiatives, and provides analysis to Finance leadership. Partners with business leaders and BI teams to improve reporting, planning efficiency, and data-driven decision-making using modern technologies and AI.

Develops and validates credit risk models using statistical, machine learning, and AI techniques. Builds analytical solutions with GCP, SAS, R, and Python; analyzes modeling results and translates findings into business insights. Responsibilities include credit lifecycle analysis, special studies, process improvement, documentation, presentations, stakeholder collaboration, and managing project deliverables. Requires advanced quantitative education, knowledge of PD, LGD, and EAD modeling, predictive modeling, cloud analytics, and strong communication skills.

Build Python-based tools for layout, animation, matchmove, and previs artists working with complex CG scenes. Develop scene-management systems, asset and animation library integrations, and 3DEqualizer data import/export workflows. Collaborate with product owners and stakeholders in an Agile environment, contributing across design, development, maintenance, and pipeline integration. Work may include front-end and back-end development for high-end VFX and feature animation pipelines.

Manage engineering change orders across global manufacturing sites using Agile PLM and BAAN. Create product numbers, BOMs, part numbers, approved vendor lists, and production releases for new products. Coordinate with engineering, materials, customers, and cross-functional teams during NPI. Generate reports, resolve service issues through root cause analysis, train team members, manage escalations, and implement continuous process improvements.

Manage engineering change orders, product data, bills of materials, part numbers, approved vendor lists, and production releases using Agile PLM and BAAN. Support NPI activities, customer documentation, reporting, root-cause analysis, process improvements, audits, and procurement-process efficiency. Collaborate with engineering, materials, customers, sites, and cross-functional teams while mentoring staff, handling escalations, and training team members.

Owns the vision, roadmap, delivery, adoption, and value metrics for AI products across Pfizer’s international commercial portfolio. Translates business priorities into technical backlogs and acceptance criteria, coordinates agile delivery, UAT, releases, vendors, and production handoffs, and guides solutions from prototypes to enterprise-grade systems. The role also supports AI prototyping, stakeholder alignment, user engagement, documentation, and integration across data, platform, security, and commercial teams.

Lead the delivery of AI products across international markets by coordinating internal engineers, contractors, and vendors. Establish engineering standards, make technical decisions, review code, ensure testing and release readiness, and guide solutions from proof of concept through enterprise production. Oversee data, AI, generative AI, agentic AI, and full-stack applications while managing dependencies, technical debt, and delivery quality. Collaborate with product, engineering, data science, security, and global stakeholders, and evaluate emerging technologies.

Leads the design and delivery of enterprise data solutions using data engineering, reporting, cloud, Power Platform, and AI technologies. Provides technical strategy, mentoring, governance participation, resource planning, stakeholder collaboration, technical interviewing, and oversight of compliance and operational processes.

Build and lead OneMagnify’s global FP&A Reporting Center of Excellence in India. Own executive, board, lender, and management reporting; establish scalable standards, controls, and processes; oversee budgeting, forecasting, variance analysis, and cost optimization; recruit and develop FP&A talent; and drive finance transformation through automation, Adaptive Planning, AI, and modern reporting technologies.

Runs multilingual AI quality evaluations across translation tools and models, manages reviewer networks, and maintains terminology assets such as term bases and style guides. Presents quality findings and recommendations to product and localization teams, supports stakeholders on evaluation and terminology processes, and collaborates with AI, data science, platform, and content teams in a global matrixed environment.

Processes operational and financial transactions within service-level targets while ensuring documentation, compliance, controls, quality, and reconciliation. The role analyzes complex cases, coordinates with stakeholders, maintains process instructions, reports KPIs, supports process improvements, and guides or trains team members. Daily AI usage, SAP, Microsoft Office, attention to detail, and strong communication are required or advantageous.

Supports engineering change management and new product introduction in an electronics manufacturing environment. Creates BOM part numbers and approved vendor lists, releases customer documents and part lists, reviews ECOs and drawings, coordinates with process, product engineering, and materials teams, responds to stakeholder queries, and tracks process metrics.

Lead engineering strategy, teams, architecture, delivery, and platform outcomes for the Unify Energy SaaS platform. Oversee software, data, integrations, automation, security, reliability, and applied AI capabilities supporting oil and gas information workflows. Partner with product, customers, implementation, and business leaders to prioritize investments, improve delivery predictability, strengthen platform quality, and achieve measurable customer, operational, and financial results.

Manage engineering change orders across global manufacturing sites using Agile PLM and BAAN. Create product numbers, BOMs, part numbers, and approved vendor lists; release documentation and parts to production. Support NPI change analysis, reporting, process improvements, root-cause analysis, customer coordination, escalations, mentoring, and training. The role requires electronics engineering experience in manufacturing, strong analytical and communication skills, and night-shift availability.

Own the APAC partner marketing strategy and budget, developing joint marketing plans with VARs, TSDs, BPOs, and GSIs. Execute integrated digital, hybrid, and in-person programs that generate demand, create and accelerate pipeline, and support revenue growth. Align Partner Sales and Marketing stakeholders, manage strategic relationships, establish performance metrics, report ROI, and optimize investments across the region.

Lead a delivery pod to implement intelligent automation, AI/ML, workflow automation, and pro-code solutions. Translate designs into scalable delivery plans, ensure governance and compliance, manage stakeholder alignment, and mentor technical teams to deliver measurable operational outcomes.

Designs scalable analytics solutions, Qlik Sense dashboards, ETL/ELT pipelines, APIs, and enterprise integrations for automotive recall and compliance data. Analyzes VINs, warranty claims, dealer records, and customer data to identify risks and opportunities. Improves data quality, reporting, automation, and platform resilience while applying responsible AI, predictive analytics, and machine learning to enhance recall performance, dealer communications, regulatory compliance, and operational decision-making.

Manages science and technology initiatives for sustainable industrial fisheries. Leads multidisciplinary projects involving electronic monitoring, AI, machine learning, computer vision, data systems, hardware, software deployment, and seafood traceability. Oversees vendors, contractors, budgets, procurements, technical assessments, and deployment of systems in remote environments. Translates technical concepts for diverse stakeholders and supports technology evaluation, scaling, and conservation strategy. The role may require domestic and international travel of 25% or more.

Leads process improvement and transformation initiatives across lending operations using DMAIC, statistical analysis, DoE, SPC, process intelligence, FMEA, forecasting, and AI-assisted automation. Designs optimized workflows, develops dashboards, assesses operational risks, builds business cases, collaborates with cross-functional teams, and mentors junior analysts and engineers.

Leads enterprise technical delivery and software engineering strategy for US healthcare and payer analytics solutions. Oversees large-scale engineering teams, project lifecycles, budgets, quality, compliance, interoperability, and continuous improvement. Develops delivery roadmaps, manages risks and resources, mentors leaders, and partners with executives, clients, vendors, sales, marketing, and regulatory stakeholders. Requires deep healthcare domain knowledge, strong technical architecture expertise, and experience scaling organizations and converting opportunities into revenue.

Leads healthcare technology delivery strategy, software development lifecycle execution, technical project integration, quality assurance, regulatory compliance, budgets, and organizational growth. Builds and mentors large engineering and technical delivery teams, manages risks and resources, advises on architecture and complex technical issues, supports RFPs and client relationships, and drives continuous improvement across payer analytics, fraud prevention, utilization review, coding accuracy, and healthcare interoperability solutions.