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Explore The Wealth Of Career Opportunities And Create The Future You Want.
Project Manager
About the Role:
We are seeking an experienced Project Manager the ideal candidate will lead cross-functional technology initiatives, drive digital transformation, and manage the successful delivery of IT projects across supply chain, sales, marketing, and finance functions.
Key Responsibilities:
- Partner with business stakeholders to gather requirements, define project scope, and translate business needs into technical deliverables.
- Manage multiple concurrent projects using agile or hybrid methodologies.
- Develop and maintain detailed project plans, budgets, and resource allocations.
- Drive collaboration between business teams, IT, and vendors to ensure successful project outcomes.
- Identify project risks and develop mitigation strategies.
- Monitor project performance through KPIs, status reports, and post-implementation reviews.
- Ensure adherence to governance, compliance, and quality standards.
- Oversee integration of IT systems such as ERP, CRM, Trade Promotion Management (TPM), and Supply Chain Planning tools.
- Champion best practices in project management and continuous improvement.
Required Skills and Qualifications:
- Bachelor’s degree in computer science, Information Technology, Engineering, or related field (master’s preferred).
- Excellent stakeholder management and communication skills across technical and business teams.
- Proficiency in project management tools (e.g., MS Project, JIRA, Smartsheet, or similar).
- PMP, PRINCE2, or Agile/Scrum certification preferred.
Nice-to-Have:
- Experience with cloud-based solutions (AWS, Azure, GCP).
- Knowledge of data analytics, AI/ML, or digital transformation initiatives.
- Vendor management and global project delivery experience.
Soft Skills:
- Strong leadership and decision-making abilities.
- Excellent problem-solving and analytical skills.
- Ability to manage ambiguity and work under pressure.
- Effective communication and stakeholder influence skills.
Business Analyst
Key Responsibilities:
- Gather, analyze, and document business requirements from stakeholders across domains such as Oil & Gas, Manufacturing, Sales, or IT
- Translate domain-specific business needs into clear functional and technical specifications
- Collaborate with development and QA teams to ensure accurate understanding of requirements and smooth implementation
- Identify opportunities to leverage Generative AI solutions to optimize processes within industry verticals (e.g., automation, reporting, customer interactions)
- Develop documentation including process flows, BRDs, FRDs, user stories, and use cases aligned with domain practices
- Support User Acceptance Testing (UAT) and ensure solutions meet business expectations
- Perform gap analysis to identify inefficiencies and recommend improvements tailored to industry workflows
- Work with cross-functional teams to deliver scalable, high-quality solutions across business units
- Stay updated on emerging trends in AI/Gen AI and propose relevant use cases for industry-specific challenges
Required Skills:
- Strong foundation in Business Analysis with experience in domain-driven environments (Oil & Gas, Manufacturing, Sales, or IT)
- Proven expertise in requirement gathering, documentation, and stakeholder management across business functions
- Good understanding of SDLC and Agile methodologies in enterprise settings
- Excellent communication and interpersonal skills for working with diverse teams
- Strong analytical and problem-solving capabilities with a business-oriented mindset
- Familiarity with tools such as JIRA, Confluence, MS Excel, and Visio
Generative AI (Basic Exposure Required):
- Understanding of Generative AI concepts (e.g., chatbots, LLMs, automation) and their application in business domains
- Awareness of tools like ChatGPT or similar AI platforms
- Ability to identify practical use cases of Gen AI to improve efficiency in industries such as Manufacturing, Sales operations, IT services, or Oil & Gas
- No deep technical or coding expertise required
Magento Developer with major focus on PWA
Key Responsibilities & Technical Expertise:
- Design, develop, customize, and maintain Magento 2 websites, extensions, and modules.
- Build and enhance Progressive Web Applications (PWA) using Magento PWA Studio, React.js, and GraphQL.
- Integrate third-party systems including payment gateways, ERP, CRM, and other API-based services.
- Optimize site performance, caching, and scalability using tools like Redis, Varnish, and Elasticsearch/OpenSearch.
- Configure caching, indexing, and CDN for improved site performance.
- Expertise in HTML5, CSS3, LESS/SASS, JavaScript, jQuery, and TypeScript.
- Skilled in React.js, Redux, GraphQL, and REST APIs for modern frontend development in Magento PWA.
- Proficient in Magento theme development, custom module development, and UI component customization.
- Set up and manage Docker-based environments for local development, staging, and production deployments.
- Implement security best practices, perform regular updates, and maintain backup and disaster recovery strategies.
CUX Designer
What’s the opportunity?
Acuvate is a leader in conversational artificial intelligence (AI) innovations that bring intelligence to everyday work and life. With decades of both domain and AI expertise, we deliver solutions that understand, analyze, and respond to people, amplifying human intelligence to increase productivity and improve security.
What you’ll be doing:
- Engage with major enterprise brands to understand their business use cases, their customer personas, and intents for the chatbot solution.
- Research and analyse intents and associated customer journeys.
- Create bot design documents, including bot personas, example dialogs, conversation flow diagrams, error handling patterns.
- Design effective, innovative, and delightful conversational experiences using user-centric design methodologies.
- Work with Conversational User Experience (CUX) Engineers to identify natural language understanding risks and how it affects the conversation design.
- Write effective and natural dialogues.
- Create prototypes (mock-ups), wireframes, and templates that clearly convey the conversation design to customers and development teams.
- Review customer transcripts to identify gaps in the conversation design; modify design patterns to bridge those gaps.
- Analyze dialogues and user interaction with live bot/assistants and make recommendations for improving user experience.
- Work with chatbot language trainers to contribute training data for the bot’s NLP/NLU model
What skills are we looking for?
- Exceptional written and verbal communication skills
- Design experience in conversational and AI design spaces
- Experience creating multiple demos or prototypes showcasing the bleeding edge capabilities of conversational design.
- Relevant experience of 2-5 years in Conversation designing.
- Graduation / Post Graduation in any language specialization or Art, History, Sociology or Psychology is a plus, though not mandatory.
Will be a bonus if you also have
- Knowledge on Natural Language Understanding Cognitive services
Agentic AI Architect
Department: AI & Emerging Technologies
Role Overview:
As an Agentic AI Architect at Acuvate Software Solutions & Services, you will lead the architectural vision, design, and implementation of enterprise-grade agentic AI solutions that drive digital transformation across industries. You’ll collaborate with Product, Data Engineering, and Cloud teams to build autonomous AI agents, orchestrated multi-agent workflows, and scalable AI systems that integrate with clients’ core business platforms. This role sits at the intersection of architecture, data science, cloud engineering, and AI system design, with direct impact on how Acuvate helps customers transform operations using intelligent agents & AI-driven workflows.
Key Responsibilities:
Architecture & System Design:
- Architect enterprise-grade agentic AI systems and multi-agent ecosystems that can plan, reason, and execute multi-step business tasks.
- Design scalable, secure, and resilient AI reference architectures that leverage LLMs, orchestration layers, memory systems, and tool integration modules.Define AI agent lifecycle frameworks (development → deployment → monitoring → governance).
Modeling & Implementation:
- Lead development and deployment of Generative AI models and autonomous agent workflows for production use-cases.
- Build RAG (Retrieval Augmented Generation), reasoning pipelines, prompt libraries, and framework-based orchestration using tools like LangChain, LlamaIndex, or similar frameworks.
- Collaborate cross-functionally to integrate AI agents into enterprise platforms via APIs, SDKs, and microservices.
Technical Leadership & Innovation:
- Stay updated with state-of-the-art technologies (LLMs, reinforcement learning, multi-agent systems) and introduce best practices into solutions.
- Mentor engineers and data scientists in architectural patterns, agentic solution design, and deployable AI workflows.
Lead pilot Proof-of-Concepts (PoCs) to validate feasibility and scale high-impact AI systems.
Governance, Ethics & Performance:
- Establish AI governance standards, security baselines, and compliance mechanisms to address reliability and ethical considerations in agentic systems.
- Define performance monitoring, lifecycle metrics, and validation approaches for production AI agents.
Stakeholder Engagement:
- Partner with product owners, clients, and engineering stakeholders to translate business challenges into technical architectures.
- Present architectural frameworks, solution roadmaps, and AI strategies to both technical and non-technical audiences.
Required Skills & Qualifications:
Educational Background:
- Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
- Ph.D. in relevant domain is a strong plus.
Technical Expertise:
- 4+ years’ experience in AI/ML systems, including 2+ years with Generative AI and agentic workflows.
- Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
- Hands-on experience with LLM fine-tuning, prompt engineering, RAG pipelines, and multi-agent orchestration.
- Experience with AI frameworks/tools such as LangChain, LlamaIndex, Hugging Face, OpenAI, Anthropic, AutoGen, or similar.
- Familiarity with cloud platforms & AI services (AWS, Azure, GCP) and MLOps/LLMOps practices.
- Strong knowledge of APIs, microservices, scalable distributed systems, and data ecosystem components (vector databases, data lakes).
Soft Skills:
- Excellent problem-solving, analytical, and research capabilities.
- Strong communication skills with ability to articulate technical concepts to both technical & business stakeholders.
- Leadership and mentoring experience.
Preferred Qualifications:
- Experience with multi-modal AI systems (text, image, audio) or knowledge graphs & reasoning engines.
- Prior work in cross-industry digital transformation initiatives.
- Contributions to open-source communities, publications, or AI research initiatives.