Solutions Architect

2 days ago

Delhi, India HCLTech Full time
- Overall 12+ years of IT experience with hands on experience in large-scale enterprise-grade Modernization programs
- Well versed in machine learning, A.I, Open AI, Generative AI Descriptive Analytics, Data Visualization & Business Intelligence. As an Advanced AI Prompt Engineer, have real time experience and play a crucial role in implementing and optimizing prompts for different artificial intelligence (AI) models & infuse AI in existing applications. Need to work closely with cross-functional teams, including data scientists, engineers, and product managers, to understand user requirements, design appropriate prompts, and iterate on them to improve model performance.
- Architect and oversee the migration of enterprise Java applications to public cloud platforms (SaaS, PaaS, Serverless). Develop strategies for cloud migration that include assessment, planning, execution, and optimization. Ensure seamless integration between cloud-based solutions and on-premises systems.Expertise with application modernization use cases for cloud and non-cloud for all treatment types
- Ability to build solutions pertaining to products using machine learning to augment current enablers suite and provide solutions which would improve time to market. Gather and analyze market trends and customer feedback to refine AI solutions and ensure they meet evolving needs. Engage with customers to understand their unique challenges and tailor solutions accordingly. Drive continuous improvement initiatives by evaluating emerging AI technologies and integrating innovative approaches into modernization strategies.
- Lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The key responsibilities will be to prepare modern Natural Language Technology (NLT) platforms to gain insights from key business data. The employee will be responsible for designing, implementing and managing data preparation and advanced analytics tools in addition to demonstrating insights from the varied sources of data to business users. Responsibilities also include developing and designing language understanding/generation systems and effectively using text representation techniques. Familiarity with deep learning, machine learning and NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, genism, CoreNLP etc.). Hands one experience in machine learning.
- Should have experience in AWS services such as Sage Maker, Elasticsearch, and general knowledge of AWS architecture & other services. Create roadmaps for AI-driven transformation initiatives that align with business goals and technological advancements.
- Ability to communicate with all levels of the organization (leading technical discussions and communicating with leaders). Develop and implement change management strategies to facilitate smooth transitions during modernization efforts. Address resistance and ensure stakeholder buy-in for AI-driven changes. Act as a liaison between technical teams and non-technical stakeholders, translating complex AI concepts into actionable insights and business value.
- Thinks in terms of capabilities and the technologies to deliver. Oversee the integration of AI models into legacy systems, ensuring compatibility and smooth operation within the existing architecture. Develop and enforce best practices for data security and compliance in AI and cloud environments
- Must be able to collaborate and lead discussions with multiple teams to develop solution architectures for legacy estates with little or no SME knowledge
- Able to identify and assess risks to mitigate and eliminate technical obstacles that negatively impact the delivery of a solution
- Must be assertive and responsible for the creation of solutions that meets or exceeds business expectations
- Experience with advanced AI techniques like reinforcement learning, meta-learning, and generative adversarial networks (GANs) .

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