generative ai architect

GE Vernova

<div><h1 class="jobSectionHeader"><b>Job Description Summary</b></h1>
The Senior Generative AI Enterprise Architect is a strategic leader responsible<br>
for defining and implementing enterprise-wide strategies to harness the power of<br>
generative AI technologies. This role involves designing and overseeing the<br>
integration of AI solutions into core business processes and IT ecosystems to<br>
drive innovation and deliver transformative results.
<br>
The Senior Architect works with C-level executives, business leaders, and<br>
technical teams to align AI initiatives with long-term organizational goals. With<br>
deep expertise in enterprise architecture and generative AI, this role focuses on<br>
creating scalable, secure, and ethically sound systems that deliver measurable<br>
business value. As a thought leader, you will shape the future of AI adoption<br>
within the organization and guide teams toward realizing its full potential.
<br>
As a GE Vernova accelerator, GE Vernova Advanced Research is driving<br>
strategy and leading research &amp; development efforts to execute on the<br>
business&rsquo;s mission to help power the energy transition. We forge the<br>
collaborations and help invent the technologies required to electrify and<br>
decarbonize for a zero-carbon future.<br>
Representing virtually every major scientific and engineering discipline, our<br>
researchers are collaborating with GE Vernova&rsquo;s businesses, the U.S.<br>
government, and more than 420 entities at the forefront of technology to execute<br>
on 150+ energy-focused projects. Collectively, these research programs and<br>
initiatives aim to solve near term technical challenges, deliver next generation<br>
product advances, and drive long term breakthrough innovation to enable more<br>
affordable, reliable, sustainable, and secure energy.<p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p><b>
Roles &amp; Responsibilities:</b></p><ul><li>
Coordinate Tech Council, ensuring that our teams are driving the principles of re-use, scalability, and maintainability as we design and deploy GenAI solutions.</li><li>
Act as the primary liaison with the Chief Information Security Officer (CISO) and Chief Technology Officer (CTO) teams to align security and technology strategies across the organizations.</li><li>
Design and implement scalable, secure, and robust enterprise architectures for generative AI systems that integrate with enterprise IT ecosystems.</li><li>
Work with business and IT stakeholders to define and execute a comprehensive generative AI strategy that aligns with organizational goals.</li><li>
Design and maintain an enterprise AI architecture framework to support scalable, efficient, and secure AI solutions.</li><li>
Collaborate with business leaders to identify high-impact use cases for generative AI technologies.</li><li>
Lead the integration of generative AI systems into enterprise IT infrastructure and workflows. Establish architectural blueprints and best practices for deploying GenAI solutions across various business domains.</li><li>
Guide teams in optimizing AI models for performance and cost, focusing on inference speed and resource efficiency.</li><li>
Oversee the delivery and monitoring of AI systems to ensure they meet operational and performance benchmarks.</li><li>
Partner with stakeholders across the enterprise to create AI-driven solutions that deliver measurable ROIs.</li><li>
Operationalize and enforce organizational AI governance frameworks to ensure ethical, secure, and compliant use of Generative AI.</li><li>
Evaluate and recommend third-party tools, platforms, and partnerships for Generative AI initiatives.</li><li>
Manage relationships with vendors, ensuring alignment with enterprise requirements and scalability.</li><li>
Advocate for innovation and foster a culture of AI adoption across the organization.</li><li>
Stay updated on emerging trends in Generative AI to guide and maintain a roadmap for generative AI projects, ensuring scalability and innovation.</li></ul><p></p><p><b>
Key Technical Skills:</b></p><ul><li>
Proficiency with AI/ML frameworks such as TensorFlow, PyTorch, etc. Advanced knowledge of generative AI platforms (e.g., GPT, DALL&middot;E, Stable Diffusion) and frameworks.</li><li>
Deep understanding of Generative AI models (e.g., Transformers, Large Language Models (LLMs) like GPT, Claude, Llama, etc.)</li><li>
Expertise in enterprise architecture methodologies (e.g., TOGAF, Zachman) and IT systems design.</li><li>
Familiarity with Natural Language Processing (NLP), Computer Vision, and Multimodal AI systems.</li><li>
Understanding of GPU/TPU-based acceleration and optimization techniques.</li><li>
Familiarity with MLOps workflows, including CI/CD pipelines for AI systems.</li><li>
Expertise in designing scalable data pipelines for training large AI models.</li><li>
Strong knowledge of vector databases and embedding search tools (e.g., PG Vector, Amazon Titan, Azure Doc intelligence etc.).</li><li>
Familiarity with cloud-based AI/ML services (e.g., AWS Sagemaker, Azure ML, Google Vertex AI) and AI orchestration tools.</li><li>
Strong experience with cloud platforms, data lakes, and enterprise data management systems.</li><li>
Ability to design scalable, modular, and secure AI architectures that integrate with enterprise IT ecosystems.</li><li>
Knowledge of APIs, microservices, and middleware to enable seamless GenAI application deployment.</li><li>
Deep understanding of AI governance, security, and compliance. Strong understanding of domain-specific applications for generative AI (e.g., content generation, chatbots, digital twins, design automation).</li><li>
Proficiency in integrating AI models into enterprise workflows and IT ecosystems.</li><li>
Proficiency in collaborating with cross-functional teams, including data scientists, ML engineers, and business stakeholders.</li></ul><p></p><p><b>
Position Requirements:</b></p><ul><li>
Master&rsquo;s degree or higher in Computer Science, Business Administration, or related fields (Ph.D. preferred).</li><li>
12+ years of experience in enterprise architecture and AI leadership roles.</li><li>
Demonstrated success in leading AI initiatives and delivering large-scale solutions.</li><li>
Exceptional strategic thinking, analytical, and communication skills.</li><li>
Proven experience as an enterprise architect for a Global Organization</li><li>
Must be willing to work out of an office located in Bangalore, India.</li></ul><p></p><h1 class="jobSectionHeader"><b>
Additional Information</b></h1><div><div><div><div><div><div><div><p><b>
Relocation Assistance Provided: </b>Yes</p></div></div></div></div></div></div></div></div><p></p>

Senior Generative AI Enterprise Architect

Excellanto Ventures Pvt Ltd

<p><b>AI Architect (Remote)</b></p><p><b>Experience:</b> 10+ Years<br/><b>Job Type:</b> Full-Time, Remote (India)</p><p><b>About the Role</b></p><p>We are looking for an experienced <b>AI Architect</b> to lead the design, architecture, and implementation of <b>Generative AI</b> solutions on <b>AWS</b> and <b>Azure</b> cloud platforms.<br/>This role is ideal for someone who thrives on innovation, enjoys solving complex problems, and wants to be at the forefront of AI-driven digital transformation.</p><p>You&rsquo;ll work on <b>RAG (Retrieval-Augmented Generation)</b> models, <b>agentic workflows</b>, and <b>AI agent-based</b> architectures, collaborating with data scientists, ML engineers, and business stakeholders to build scalable enterprise-grade solutions.</p><p><b>Key Responsibilities</b></p><ul><li>Architect and deploy scalable <b>AI/ML and Generative AI</b> systems using AWS &amp; Azure.</li><li>Build <b>RAG pipelines</b>, <b>AI agent frameworks</b>, and <b>agentic workflows</b>.</li><li>Collaborate with cross-functional teams to define solution architecture and strategy.</li><li>Evaluate and integrate emerging AI tools, models, and frameworks.</li><li>Provide technical leadership, governance, and mentoring.</li></ul><p><b>Must-Have Skills</b></p><ul><li>Strong expertise in <b>AWS and Azure Cloud Architecture</b>.</li><li>Advanced proficiency in <b>Python</b> and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, etc.).</li><li>Proven experience in <b>Generative AI</b>, <b>RAG</b>, and <b>AI Agent</b> development.</li><li>Excellent communication and stakeholder management skills.</li></ul><p><b>Preferred Qualifications</b></p><ul><li><b>MBA from IIM</b> or equivalent Tier-1 institute OR <b>consulting background</b> with technology focus.</li><li>Hands-on experience in AI consulting, pre-sales, or enterprise transformation programs.</li><li>Familiarity with <b>vector databases</b> (Pinecone, FAISS, Chroma) and <b>MLOps</b> tools.</li></ul><p><b>Why Join Us</b></p><ul><li>Work remotely on cutting-edge <b>Generative AI</b> initiatives.</li><li>Collaborate with global teams driving AI innovation.</li><li>Competitive compensation and growth opportunities.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;410,000.00 - &#8377;750,000.00 per month</p><p>Benefits:</p><ul><li>Flexible schedule</li><li>Work from home</li></ul><p>Work Location: Remote</p>

AI Architect

GE HealthCare

<div><h1 class="jobSectionHeader"><b>Job Description Summary</b></h1>
GE HealthCare has embarked on a Gen AI journey to transform the company and is looking for an AI Architect to design the foundation and strategy for the program working directly with the Chief Data Officer (CDO).<br>
As the AI Architect, you will play a pivotal role in designing, developing, and deploying generative AI solutions that align with GE HealthCare's strategic objectives. You will collaborate with cross-functional teams, including data scientists, engineers, and business leaders, to drive innovation and ensure the successful implementation of AI-driven initiatives. You will be responsible for architecting scalable AI models and systems that deliver tangible business value, while also establishing best practices for the ethical and responsible use of AI technologies.<p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p><b>
Key Responsibilities:</b></p><p><b>
Architectural Design and Strategy:</b></p><ul><li><p>
Develop and maintain the foundational architecture for generative AI initiatives, ensuring scalability, security, and efficiency.</p></li><li><p>
Define the technical roadmap for generative AI capabilities, aligning with business objectives and CDO technology strategies.</p></li><li><p>
Collaborate with stakeholders to gather requirements, provide technical guidance, and deliver AI solutions that meet business needs.</p></li><li><p>
Define, deploy, and advance processes for: AI/ML development, MLOps, LLMOPs, and the monitoring, observability, security, and maintainability of AI models.</p></li></ul><p><b>
Infrastructure and Deployment:</b></p><ul><li><p>
Design and implement the infrastructure required to support generative AI models, including cloud-based solutions, data pipelines, and data storage platforms.</p></li><li><p>
Ensure seamless integration of AI models into production environments, enabling real-time and batch processing capabilities.</p></li></ul><p><b>
Leadership and Best Practices:</b></p><ul><li><p>
Mentor a team of engineers and data scientists in the development and deployment of generative AI models.</p></li><li><p>
Stay abreast of the latest advancements in generative AI and related technologies, incorporating best practices and innovative approaches into the architecture.</p></li><li><p>
Drive continuous improvement of the AI architecture, ensuring it evolves to meet changing business and technological demands.</p></li></ul><p><b>
Governance and Security:</b></p><ul><li><p>
Implement and enforce AI governance standards and security measures to protect sensitive data and ensure regulatory compliance.</p></li><li><p>
Monitor and mitigate risks associated with the deployment and operation of AI models.</p></li></ul><p><b>
Required Qualifications:</b></p><ul><li><p><b>
Education:</b></p><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field. Master&rsquo;s or PhD is a plus.</p></li></ul></li><li><p><b>
Experience:</b></p><ul><li><p>
4+ years of experience in designing and implementing AI architectures, with a focus on generative models (e.g., GPT, VAEs, GANs).</p></li><li><p>
10+ years of experience with cloud platforms (AWS preferred) and AI/ML frameworks (TensorFlow, PyTorch).</p></li><li><p>
Experience with Generative AI RAG pattern and LLM fine tuning.</p></li><li><p>
Experience with ML and Generative AI tools such as Amazon SageMaker and Amazon Bedrock.</p></li><li><p>
Knowledge of ethical principles in AI development and deployment, including fairness, accountability, and transparency, ability to identify and address biases in data and models and understanding of techniques for interpreting and explaining AI models.</p></li></ul></li><li><p><b>
Skills:</b></p><ul><li><p>
Proficiency in programming languages such as Python, R, Java, and C++ or related modern programming languages.</p></li><li><p>
Deep understanding of machine learning algorithms, natural language processing, and deep learning techniques.</p></li><li><p>
In-depth knowledge of CNNs, RNNs, LSTMs, Transformers, and their applications.</p></li><li><p>
Strong understanding of NLP techniques, including text preprocessing, tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition.</p></li><li><p>
Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.</p></li><li><p>
Strong communication and collaboration skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders.</p></li></ul></li></ul><p><b>
Preferred Qualifications:</b></p><ul><li><p>
Experience with MLOps and CI/CD pipelines for AI model deployment.</p></li><li><p>
Experience with AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2</p></li><li><p>
Familiarity with ethical AI practices and AI governance frameworks.</p></li><li><p>
Experience in the healthcare industry or with healthcare data is desirable.</p></li><li><p>
In depth understanding of healthcare regulations (HIPAA, GDPR, etc.), data privacy, and patient safety standards.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Additional Information</b></h1><div><div><div><div><div><div><div><p><b>
Relocation Assistance Provided: </b>No</p></div></div></div></div></div></div></div></div><p></p>

Principal AI Architect

Şişecam

<div>
 <p>
  <em>
   Sisecam was founded in 1935
  </em>
  <strong>
   to establish Turkey&rsquo;s glass industry in line with the vision of
  </strong>
  <em>
   Mustafa Kemal Atat&uuml;rk, a great leader respected worldwide. Today, Sisecam is a major global player in the fields of glass and chemicals
  </em>
  <strong>
   . Sisecam is the only global company
  </strong>
  <em>
   operating in all core areas of glass production &ndash;
  </em>
  <strong>
   including flat glass, glassware, glass packaging, and glass fiber. Currently, Sisecam ranks among the world&rsquo;s top two manufacturers of glassware and the top five producers of glass packaging and flat glass.
  </strong>
  <em>
   Sisecam
  </em>
  <strong>
   is one of the three largest soda ash producers in the world
  </strong>
  <em>
   and
  </em>
  <strong>
   the world leader in chromium chemicals.
  </strong>
 </p>
 <p>
  <em>
   Sisecam plays a leading role in the flat glass,
  </em>
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   glasswar
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    e,
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   glass packagin
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    g,
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   chemicals, automotive, glass fiber, mining, energ
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   an
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   d recyclin
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    g
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   business lines. Sisecam operates production facilities in Germany, Italy, Bulgaria, Romania, Slovakia, Hungary, Bosnia-Herzegovina, Russia Federation, Georgia, Ukraine, Egypt, India, and the USA in addition to Turkey.
  </em>
 </p>
 <p>
  <em>
   Sisecam who takes firm steps towards its goal of becoming one of the world's top 3 manufacturers in its main fields of activity
  </em>
  <strong>
   , with its competent human resources and smart technologies, and uninterruptedly continues to transform its digital infrastructure and culture by considering the future necessities. Sisecam who ha
  </strong>
  <em>
   s 90 years of experience, more than 24 thousand employees, production activities in
  </em>
  <strong>
   14 countries on four continents, and a sales network of more tha
  </strong>
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   n 150 countri
  </em>
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   es, continues its growth journey in line with its
  </strong>
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   "Global Excellen
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   ce" strategy and wit
  </strong>
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   h an inclusive approach that supports the development of company's entire ecosystem. Sisecam takes responsibility fo
  </em>
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   r protecting the planet, empowering society and transforming life with its CareForNext strate
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    g
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   y, which is compliant with and centered around the United Nations Sustainable Development Goals. Sisecam uses all its experience and competencies to promote sustainable development in every aspect.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an
  <strong>
   "
  </strong>
  <strong>
   AI Architect
  </strong>
  " to take part in &Scedil;i&scedil;ecam Headquarter located in Tuzla/&Idot;stanbul.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The AI Architect is a pivotal strategic and technical leader who will be instrumental in bridging the gap between cutting-edge AI research and robust, scalable, production-ready solutions tailored for &Scedil;i&scedil;ecam's diverse business needs. This role is crucial for establishing the foundational architecture, best practices, and technological standards that will enable our data science team to deploy impactful AI solutions efficiently, securely, and reliably across the organization. This role will not only design systems but also critically assess, select, and integrate ready-to-use AI products and vendor solutions ('buy' strategy) alongside custom-built functionalities ('make' strategy). The ideal candidate would have the following qualifications:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   BSc or MSc in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related quantitative field.
  </li>
  <li>
   8+ years of progressive experience in software architecture, with at least 3-5 years specifically focused on designing and deploying large-scale AI/ML systems in production environments.
  </li>
  <li>
   Demonstrable experience architecting solutions involving Generative AI, Large Language Models (LLMs), prompt engineering, Retrieval Augmented Generation (RAG) patterns, or fine-tuning techniques.
  </li>
  <li>
   Proven experience in architecting and implementing MLOps frameworks and automated ML pipelines.
  </li>
  <li>
   Strong expertise with major cloud platforms (e.g., Microsoft Azure, AWS, GCP) and their respective AI/ML services.
  </li>
  <li>
   Proficiency in programming languages commonly used in AI/ML (e.g., Python) and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch).
  </li>
  <li>
   Proven experience with evaluating, selecting, integrating, and managing third-party AI products, platforms, or cloud-native AI services.
  </li>
  <li>
   Exceptional leadership, mentorship, and communication skills, with the ability to inspire and guide a young, dynamic team.
  </li>
  <li>
   A strategic thinker with a pragmatic approach to problem-solving and a strong focus on delivering business value through both custom builds and strategic partnerships.
  </li>
  <li>
   Ability to work effectively in a cross-functional, highly collaborative environment.
  </li>
  <li>
   Passionate about fostering an innovative culture and continuous learning, particularly in the fast-evolving field of Generative AI.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   JOB DESCRIPTION
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Develop and maintain &Scedil;i&scedil;ecam&rsquo;s enterprise-wide AI architecture vision and roadmap, identifying key components, platforms, and integration points for scalable AI adoption.
  </li>
  <li>
   Strategic 'Buy vs. Make' Decisions: Lead the evaluation, selection, and integration of commercial off-the-shelf (COTS) AI products, platforms, and third-party vendor solutions, balancing these with custom-built components to optimize for speed, cost, and long-term maintainability.
  </li>
  <li>
   Generative AI Leadership: Define and champion the architectural strategy and roadmap for Generative AI (GenAI) adoption across &Scedil;i&scedil;ecam, identifying high-impact use cases and the necessary technical infrastructure for large language models (LLMs) and other generative capabilities.
  </li>
  <li>
   Design robust, scalable, secure, and performant end-to-end AI/ML systems, encompassing data ingestion, feature engineering, model training/evaluation, and deployment (real-time, batch, edge), monitoring, and retraining mechanisms.
  </li>
  <li>
   Architect scalable and secure solutions for Generative AI applications, including considerations for large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG) patterns, fine-tuning strategies, and model safety.
  </li>
  <li>
   Establish and standardize MLOps (Machine Learning Operations) practices, pipelines, and automation to streamline the entire ML lifecycle from experimentation to production.
  </li>
  <li>
   Provide strong technical leadership and architectural guidance to the data science team, steering them towards best practices in model deployment, system resilience, performance optimization, responsible AI, and advanced GenAI solution patterns.
  </li>
  <li>
   Work closely with IT infrastructure, cybersecurity, operational technology (OT) teams, embed security best practices into all AI architectures from the outset, protecting sensitive data and preventing unauthorized access or manipulation of AI models, including IP and data handling for GenAI.
  </li>
 </ul>
 <p>
 </p>
</div>


GE Aerospace

<div><h1 class="jobSectionHeader"><b>Job Description Summary</b></h1>
We&rsquo;re looking for a Senior AI Architect to lead the creation of a transformative AI capabilities in the Supply Chain domain. You&rsquo;ll architect scalable, secure, high-performance AI, ML, and LLM solutions, integrating cutting-edge generative AI to boost decision-making, streamline workflows, and solve some of the most complex campaign-level modeling challenges in the defense space. If you thrive at the intersection of AI innovation, technical leadership, and mission impact, this is your chance to invent the future Supply Chain from concept to operational deployment. Bring your expertise, shape the strategy, mentor top talent, and push the boundaries of what&rsquo;s possible in AI.<p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p><b>
Roles and Responsibilities</b></p><p>
In this role, you will:</p><ul><li>
Work in conjunction with business teams, data scientists, software engineers, and other relevant parties to comprehend business objectives and define technical requirements.</li><li>
Architect Generative AI solutions using the latest techniques such as retrieval augmented generation, transformer architectures, etc. to accommodate large-scale and intricate Generative AI solutions.</li><li>
Develop and implement applications using advanced Generative AI models such as OpenAI GPT 3.5 or 4.0, Anthropic Claude, Google Plam2, Meta Llama2 or Llama3.</li><li>
Apply frameworks such as LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models, enhancing the contextual understanding and response generation of applications.</li><li>
Assess and choose suitable Generative AI technologies, tools, and frameworks to attain the required performance, precision, and scalability.</li><li>
Oversee the fine-tuning and deployment of Large Language Models, ensuring compliance with top-tier practices in Generative AI and machine learning.</li><li>
Construct and sustain Generative AI workflows, incorporating stages such as data cleansing, pre-processing, model training or fine-tuning, and feedback loop.</li><li>
Evaluate Large Language Models and systems for optimal performance, scalability, and efficiency.</li><li>
Conduct frequent code assessments and provide technical mentorship to less experienced team members.</li><li>
Stay up to date on the latest trends and progress in Generative AI technologies, frameworks, and algorithms, and pinpoint opportunities for their use within the organization.</li><li>
Cooperate with infrastructure teams to guarantee seamless deployment and monitoring of Large Language Models in operational environments.</li><li>
Document Generative AI design choices and technical specifications for reference and knowledge dissemination.</li></ul><p></p><p><b>
Minimum Required Qualifications:
</b></p><ul><li>Bachelor's Degree in Computer Science or &ldquo;STEM&rdquo; Majors (Science, Technology, Engineering and Math) from an accredited college or university
</li><li>Minimum of 5 years of AI/ML/Software Engineering Development experience</li><li><p>
GE Aerospace will not sponsor individuals for employment visas, now or in the future, for this job opening.</p></li></ul><p></p><p><b>
Desired Characteristics and Experience:</b></p><p></p><p><b>
Technical Expertise:</b></p><ul><li>
Ability to consult customer on alignment of outcomes and desired technical solutions at an enterprise level</li><li>
Ability to Analyze, design, and develop a software solution roadmap and implementation plan based upon a current vs. future state of the business.</li><li>
Working knowledge of configuration choices and related cost implications; Experience with complex solution configurations.</li><li>
Knowledgeable of full range of solution catalog within a business unit and able to discuss overall solution at depth.</li><li>
Experience sustaining operational stability through various life cycle phases (planning, implementation, steady state, de-commissioning); Ability to provision and budget via capital and operating.</li><li>
Able to lead early-stage customer interactions; Guide customers as they develop confidence and comfort with approaches, and integrate with their legacy tech investments.</li></ul><p><b><br>
Business Acumen:</b></p><ul><li>
Adept at navigating the organizational matrix; understanding people's roles, can foresee obstacles, identify workarounds, leverage resources and rally teammates</li><li>
Understand how internal and/or external business model works and facilitate active customer engagement</li><li>
Able to articulate the value of what is most important to the business/customer to achieve outcomes</li><li>
Able to produce functional area information in sufficient detail for cross-functional teams to utilize, using presentation and storytelling concepts</li><li>
Possess extensive knowledge of full solution catalog within a business unit and proficiency in discussing each area at an advanced level</li></ul><p><b><br>
Leadership:</b></p><ul><li>
Demonstrated working knowledge of internal organization</li><li>
Foresee obstacles, identify workarounds, leverage resources, rally teammates.</li><li>
Demonstrated ability to work with and/or lead blended teams, including 3rd party partners and customer personnel.</li><li>
Demonstrated Change Management /Acceleration capabilities</li><li>
Strong interpersonal skills, including creativity and curiosity with ability to effectively communicate and influence across all organizational levels</li><li>
Proven analytical and problem resolution skills</li><li>
Ability to influence and build consensus with other Digital Technology teams and leadership</li></ul><p></p><p><i>
This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).</i></p><p></p><h1 class="jobSectionHeader"><b>
Additional Information</b></h1><div><div><div><div><div><div><div><p>
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</p></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><p>
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
</p></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><p><b>Relocation Assistance Provided: </b>No</p></div></div></div></div></div></div></div><p></p>
#LI-Remote - This is a remote position</div>

Senior AI Architect

NTT DATA

<div><b>Job Title: AI Innovation Architect</b><br>
<br>
<b>Job Summary</b><br>
<br>
We are seeking a visionary and hands-on <b>AI Innovation Architect</b> with a strong background in software engineering, cloud platforms, and Generative AI. The ideal candidate will have 10+ years of experience in designing and delivering enterprise-grade solutions, with deep expertise in <b>LLM integration</b>, <b>MCP protocol</b>, <b>RAG architecture</b>, and <b>AI-driven application design</b>. This role is pivotal in shaping the architecture and technical direction of AI-powered products and platforms, collaborating across engineering, product, and business teams to drive innovation and value.<br>
<br>
<b>Key Responsibilities</b><br>
<ul><li>
Architect and lead the development of scalable, secure, and high-performance AI solutions using <b>LLMs</b>, <b>RAG</b>, and <b>MCP</b>.</li><li>
Define and implement strategies for <b>LLM model selection</b>, <b>prompt engineering</b>, <b>tool calling</b>, and <b>chunking optimization</b>.</li><li>
Collaborate with engineering teams to integrate AI capabilities into <b>frontend (React, TypeScript)</b> and <b>backend (Python, FastAPI)</b> systems.</li><li>
Guide the implementation of <b>OAuth 2.0</b>, API-based system integrations, and cloud-native deployments (preferably on <b>GCP</b>).</li><li>
Work closely with QA, DevOps, and delivery teams to ensure end-to-end solution quality and performance.</li><li>
Engage with stakeholders to understand business needs and translate them into innovative AI architectures.</li><li>
Provide technical leadership and mentorship across cross-functional teams.</li><li>
Stay ahead of emerging AI trends and evaluate new tools, frameworks, and platforms for enterprise adoption.</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
10+ years of experience in software architecture and solution design.</li><li>
Proven experience in:</li><li><ul><li><b>
Generative AI</b>, <b>LLM integration</b>, and <b>RAG implementation</b>.</li><li><b>
MCP protocol</b>, <b>tool calling</b>, and <b>prompt engineering</b>.</li><li><b>
Python</b>, <b>FastAPI</b>, and <b>OAuth 2.0</b> for backend development.</li><li><b>
React</b>, <b>TypeScript</b>, and <b>Tailwind CSS</b> for frontend integration.</li></ul></li><li>
Strong understanding of <b>cloud platforms</b>, preferably <b>Google Cloud Platform (GCP)</b>.</li><li>
Experience in Agile delivery environments and stakeholder engagement.</li><li>
Educational background: 10 + 2 + 4 (Bachelor's degree in Computer Science, Engineering, or related field).</li></ul><br>
<b>
Key Competencies</b><br>
<ul><li><b>
AI &amp; System Architecture</b>: Expertise in designing AI-first systems with scalable and modular architecture.</li><li><b>
Innovation Leadership</b>: Ability to drive innovation and influence technical direction across teams.</li><li><b>
Stakeholder Management</b>: Strong communication and expectation-setting skills with technical and business stakeholders.</li><li><b>
Agile Execution</b>: Experience leading Agile teams and delivering iterative value.</li><li><b>
End-to-End Delivery</b>: Proven ability to oversee architecture, development, testing, and deployment of AI solutions.</li></ul></div>

Data & Business Insights Analyst

<div><h1 class="jobSectionHeader"><b>Job Description Summary</b></h1>
The Senior Generative AI Software Architect is a visionary leader responsible for defining and delivering scalable, innovative AI solutions using cutting-edge generative AI models. This role entails architecting systems that leverage advanced AI to solve complex business problems and enable transformative applications. You will support enterprise-scale AI initiatives leveraging Bedrock foundational models, Azure OpenAI, and Google Gemini. The core platform is based on AWS, with additional integrations into Azure for specific AI use cases. The Senior Architect works closely with product owners, data scientists, and software development teams to design frameworks, deploy models, and ensure seamless integration with enterprise systems. As a technical authority, this role emphasizes system scalability, high performance, security, and ethical considerations. You will guide teams in adopting generative AI technologies, mentor engineering teams, and drive innovation to deliver a competitive edge.
<br>
<br>
As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research &amp; development efforts to execute on the business&rsquo;s mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future.<br>
<br>
Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova&rsquo;s businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.<p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p>
Roles &amp; Responsibilities:</p><ul><li>
Architect and oversee the development of robust, scalable systems for deploying generative AI models.</li><li>
Collaborate with stakeholders to define business requirements and technical specifications for generative AI applications.</li><li>
Guide the selection, customization, and optimization of state-of-the-art generative AI models.</li><li>
Develop end-to-end pipelines for model training, inference, and monitoring in production environments.</li><li>
Ensure systems meet high standards for performance, scalability, and security while adhering to data privacy regulations.</li><li>
Lead the implementation of APIs, microservices, and frameworks to integrate AI models into enterprise solutions.</li><li>
Design scalable and efficient architectures for generative AI models, applications, and workflows.</li><li>
Ensure seamless integration of generative AI capabilities into existing systems.</li><li>
Provide mentorship to engineering teams, fostering expertise in AI and software architecture.</li><li>
Design and maintain platforms to handle large-scale solution applications in collaboration with legal/compliance teams</li><li>
Define architectural best practices to mitigate risks associated with Generative Ai (e.g., model hallucinations)</li><li>
Align AI architecture with organizational goals and contribute to strategic technology roadmaps.</li><li>
Document architectural designs, workflows, and decisions for transparency and scalability.</li></ul><p>
Key Technical Skills:</p><ul><li>
Strong knowledge of neural network architectures (e.g., CNNs, RNNs, Transformers).</li><li>
Expertise in designing scalable, distributed architectures for AI systems.</li><li>
Strong experience with cloud computing platforms (AWS, Azure, GCP) and containerization (Kubernetes, Docker).</li><li>
Familiarity with large-scale distributed systems and database technologies.</li><li>
Experience in creating technical design documents and implementation playbooks for target-state AI solutions within cloud environments based on</li><li>
Experience translating business requirements into technical solution designs</li><li>
Thorough understanding of integration platforms and protocols (e.g., REST, SOAP, HTTP, UDP, ETC.)</li><li>
Proficiency in designing RESTful APIs and GraphQL endpoints for AI services.</li><li>
Knowledge of API development, microservices architecture, and DevOps practices.</li><li>
Proficiency in MLOps/LLMOps and model lifecycle management, including CI/CD pipelines for training, testing, and deploying AI models at scale.</li><li>
Expertise in prompt engineering and fine-tuning large language models (LLMs), including techniques like Reinforcement Learning from Human Feedback (RLHF) and parameter-efficient tuning (e.g., LoRA).</li><li>
Performance optimization for AI/ML workloads, including GPU/TPU acceleration, model quantization, pruning, and distillation.</li><li>
Observability &amp; Monitoring of AI pipelines, encompassing logging, tracing, and metrics to detect drift, anomalies, or performance bottlenecks.</li><li>
Security, Privacy, and Compliance knowledge, with an understanding of data governance (GDPR, HIPAA, SOC 2) and secure model serving.</li></ul><p>
Position Requirements:</p><ul><li>
Master&rsquo;s degree or higher in Computer Science/Engineering, AI, or related fields.</li><li>
10+ years of experience in software architecture with a focus on AI/ML systems.</li><li>
Proven track record of designing scalable Generative AI use case solutions.</li><li>
Exceptional leadership, strategic thinking, and problem-solving abilities.</li><li>
Excellent communication skills for engaging with stakeholders across technical and business domains.</li><li>
Must be willing to work out of an office located in Niskayuna, NY.</li><li>
Legal authorization to work in the U.S. is required. We will not sponsor applicants at the Master&rsquo;s level, now or in the future, for this job opening.</li><li>
Must be 18 years or older.</li><li>
You must submit your application for employment at www.careers.gevernova.com to be considered.</li></ul><p>
The salary range for this position is $161,200 - $242,000 USD, annually. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate&rsquo;s experience, their education, and the work location. This position is also eligible for a performance bonus. This position will remain posted until at least October 1, 2025.</p><p>
GE provides a comprehensive benefits package that provides access to plans which support the overall wellbeing of our employees and their dependents. These benefits include, but are not limited to, health care coverage (medical, dental, vision, pharmacy), a retirement plan that includes Company Retirement Savings and a 401K with Company matching, Life Insurance options, Disability coverage, paid time-off, EAP, and more.</p><p></p><div><div><div><div><div><div><div><p>
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</p></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><p>
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
</p></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><p><b>Relocation Assistance Provided: </b>Yes</p></div></div></div></div></div></div></div></div><p></p>

Senior Software Architect - Generative AI

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Senior Software Architect - Generative AI