ai solution architect

Tarento Technologies Pvt. Ltd.

<div><div><b>About Tarento:</b></div><div>
</div><div>
Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions.</div><div>
</div><div>
We're proud to be recognized as a <b>Great Place to Work</b>, a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you&rsquo;ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose.</div><div></div><div><b><br>
Role Overview:<br>
</b></div><div></div><br>
<div>In this role, you will be responsible for designing and building robust, scalable services and architectures that enable enterprise-grade AI solutions. You will ensure that security, compliance, and ethical considerations are embedded into all AI initiatives while defining guiding principles and architectural standards.</div><div>
You will work closely with business and technical stakeholders across the organization to identify requirements, shape AI strategies, and support roadmap execution. As an advisor in an international business environment, you will play a critical role in enabling capability creation and accelerating AI adoption.</div><div></div><h3 class="jobSectionHeader"><b><br>
Key Responsibilities:</b></h3><ul><li>
Design and implement robust, scalable AI services and solution architectures</li><li>
Define and drive AI solution architecture standards, principles, and best practices</li><li>
Ensure security, privacy, compliance, and ethical considerations are addressed in all AI solutions</li><li>
Lead AI roadmap planning and implementation in alignment with business objectives</li><li>
Collaborate with stakeholders to translate business requirements into technical solutions</li><li>
Provide architectural oversight across data pipelines, model development, and deployment</li><li>
Perform light coding and technical reviews to validate designs and implementations</li><li>
Act as a trusted advisor to leadership and delivery teams on AI strategy and execution</li></ul><div></div><h4 class="jobSectionHeader"><b><br>
Technical Skills:
</b></h4><ul><li>Strong experience with <b>Microsoft Azure</b>
</li><li>Proven background in <b>solution architecture for AI/ML platforms</b></li><li>
Hands-on experience with <b>Python</b>, having worked as a <b>Data Scientist</b></li><li>
Solid experience in <b>algorithms, classical machine learning techniques, and model building</b></li><li>
Experience working with modern data stacks and AI model lifecycle management</li><li>
Ability to define AI solution principles and clearly articulate how components fit together</li></ul><div></div><h4 class="jobSectionHeader"><b><br>
Education &amp; Experience</b></h4><ul><li><b>
Bachelor&rsquo;s or Master&rsquo;s degree</b> in <b>Mathematics, Statistics, Data Science</b>, or related field</li><li>
Specialization in <b>AI/ML (from 2017 onwards preferred)</b></li><li>
Minimum <b>4+ years of experience</b> in a similar AI Solution Architect / AI Engineering role</li><li>
Prior hands-on experience as a <b>Data Scientist</b> is mandatory</li></ul></div><div></div>

AI Solution Architect

ByteDance

<b>Location:</b><br>
Dubai
<br><br>
<b>Team:</b><br>
Advertising & Sales
<br><br>
<b>Employment Type:</b><br>
Regular
<br><br>
<b>Job Code:</b><br>
A41972A
<br><br>
Responsibilities
<br><br>
Join the Fast-Growing BytePlus Team
<br>BytePlus is one of the newer Business Units formed to serve global enterprise customers with our leading technology solutions. As part of the BytePlus Team, you help enterprise customers build what's next for their business. Leveraging ByteDance's cutting-edge intelligent technologies, we are devoted to developing innovative products and solutions to shape the future. We empower our clients to focus on what truly matters. Centering on inspiring innovativeness and excellence, we create life-changing solutions that impact lives around the world. You can help us to achieve our mission.
<br><br>
<b>Responsibilities:</b><br>
<ul>
<li>Pre-sales Support: Collaborate with overseas business teams to promote multimodal AI large models such as Seedream (image generation) and Seed Speech (voice). Follow up on global opportunities from direct clients and channels, serving overseas medium and large enterprise clients with ByteDance’s self-developed image and voice models.</li>
<li>GTM Strategy: Participate in formulating overseas commercialization go-to-market strategies for image generation and voice AI products, and take responsibility for corresponding overseas commercialization goals.</li>
<li>Product Feedback and Solution Incubation: Conduct overseas market research and communicate with client needs, collect feedback on image and voice AI products for the product and R&D teams, and contribute to product updates and iterations. Implement industry benchmark cases and incubate industry solutions based on the products.</li>
</ul>
Qualifications
<br><br>
<b>Minimum Qualifications:</b><br>
<ul>
<li>Minimum 3+ years of work experience, with certain global exposure; strong interest in AI products.</li>
<li>Bachelor’s degree or above, with majors in computer science, IT, communications, or related fields preferred.</li>
<li>Ability to learn quickly, strong execution, cross-team collaboration and project management skills; good communication, strong self-drive, and ability to work under pressure.</li>
</ul>
<b>Preferred qualifications:</b><br>
<ul>
<li>Experience in global pre-sales, solution engineering, or enterprise SaaS/AI commercialization, especially with multimodal AI technologies (e.g. image generation, voice AI).</li>
<li>Familiarity with large model ecosystem technologies, including prompt engineering, fine-tuning, and model deployment across cloud environments.</li>
<li>Proven track record in building GTM motions with channel partners and driving successful adoption by enterprise clients in overseas markets</li>
</ul>
Job Information
<br><br>
About Us
<br><br>
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
<br><br>
Why Join ByteDance
<br><br>
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
<br><br>
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
<br><br>
Diversity & Inclusion
<br><br>
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

AI Product Solution Architect, BytePlus - Dubai

Aliqan Services Private Limited

<p><b>Job Title : Senior GenAI Consultant / Architect</b></p><p><b>Experience : 10&ndash;15 Years (Overall IT &amp; Data/AI experience)</b></p><p><b>Employment Type : Contract 6 month + ext.</b></p><p><b>Location : Noida </b></p><p><b>Role Summary</b></p><p>We are seeking a highly experienced <b>Senior GenAI Consultant / Architect</b> to lead the design, advisory, and implementation of enterprise-grade Generative AI solutions. This role requires deep hands-on expertise across LLMs, GenAI architectures, and cloud platforms, along with strong client-facing and solution ownership capabilities.</p><p>The ideal candidate will act as a <b>trusted AI advisor</b>, translating complex business problems into scalable GenAI solutions and driving initiatives from <b>use-case discovery and POC through production deployment</b>. While people management is not mandatory, <b>technical mentoring and design leadership</b> are critical.</p><p>Key Responsibilities</p><p>GenAI Solution Architecture &amp; Delivery</p><ul><li>Design and own <b>end-to-end GenAI solutions</b>, including architecture, data pipelines, model integration, and deployment patterns</li><li>Define <b>enterprise GenAI reference architectures</b> aligned with scalability, security, performance, and compliance requirements</li><li>Lead GenAI initiatives from <b>ideation, POC, MVP, to production rollout</b></li><li>Identify high-impact GenAI use cases across business functions and industries</li></ul><p>Large Language Models &amp; Advanced AI</p><ul><li>Hands-on experience with <b>LLMs</b> such as OpenAI, Azure OpenAI, Anthropic, and open-source models (LLaMA, Mistral, etc.)</li><li>Implement <b>prompt engineering</b>, prompt optimization, fine-tuning, and evaluation strategies</li><li>Design and deploy <b>RAG (Retrieval-Augmented Generation)</b> pipelines using embeddings and vector databases</li><li>Apply regression models, forecasting techniques, and <b>time-series analysis</b> where GenAI integrates with predictive analytics</li><li>Perform model selection, validation, performance tuning, and monitoring</li></ul><p>Data Engineering &amp; AI Infrastructure</p><ul><li>Design data ingestion pipelines for <b>structured and unstructured data</b> (documents, images, logs, audio, etc.)</li><li>Work with <b>vector databases</b>, feature stores, and embedding frameworks</li><li>Build API-driven, containerized GenAI solutions using <b>Docker/Kubernetes</b></li><li>Ensure observability, cost optimization, and scalability of AI workloads</li></ul><p>Cloud &amp; Platform Expertise</p><ul><li>Architect and deploy GenAI solutions on <b>AWS, Azure, and/or GCP</b></li><li>Utilize cloud-native AI/ML and GenAI services effectively</li><li>Implement secure, compliant, and production-grade AI systems in enterprise environments</li></ul><p>Client Advisory &amp; Stakeholder Engagement</p><ul><li>Lead <b>client advisory engagements</b>, requirement discovery sessions, and solution workshops</li><li>Translate business challenges into actionable AI strategies and technical designs</li><li>Communicate complex AI concepts clearly to business and technical stakeholders</li><li>Support pre-sales, proposals, architecture reviews, and executive presentations</li></ul><p>Technical Leadership &amp; Collaboration</p><ul><li>Act as <b>solution design owner</b> for GenAI initiatives</li><li>Provide <b>technical mentoring</b> to engineers, data scientists, and AI practitioners</li><li>Collaborate cross-functionally with product, data, engineering, and business teams</li><li>Establish GenAI best practices, standards, and reusable frameworks</li></ul><p><b>Mandatory Skills &amp; Qualifications</b></p><p>Core Technical Skills</p><ul><li>Enterprise GenAI architecture and solution design</li><li>LLMs: OpenAI, Azure OpenAI, Anthropic, and open-source models</li><li>Prompt engineering, fine-tuning, embeddings, and RAG frameworks</li><li>Regression, forecasting, time-series analysis, and model validation</li><li>Data ingestion pipelines, vector databases, feature stores</li><li>Cloud platforms: <b>AWS / Azure / GCP</b></li><li>Containerization and API-based architectures</li></ul><p>Consulting &amp; Soft Skills</p><ul><li>Strong <b>client-facing and advisory experience</b></li><li>Proven ability to translate business requirements into AI-driven solutions</li><li>Excellent communication and stakeholder management skills</li><li>Ownership mindset with end-to-end solution responsibility</li><li>Technical mentoring and cross-team collaboration</li></ul><p>Good to Have</p><ul><li>Experience with AI governance, responsible AI, and security controls</li><li>Familiarity with MLOps / LLMOps frameworks</li><li>Exposure to regulated or large enterprise environments</li><li>Published thought leadership, blogs, or conference talks in AI/GenAI</li></ul><p>Job Type: Contractual / Temporary<br/>Contract length: 6 months</p><p>Pay: ₹2,000,000.00 - ₹3,000,000.00 per year</p><p>Application Question(s):</p><ul><li>Do you have 10+ years of experience in Gen AI Architecture ?</li><li>Do you have experience in design of end-to-end GenAI solutions, enterprise GenAI architecture, use-case identification ?</li><li>Do you have deep experience with LLMs (OpenAI, Azure OpenAI, Anthropic, open-source), prompt engineering, fine-tuning, RAG, embeddings ?</li><li>Do you have experience in regression models, forecasting, time-series analysis, model selection &amp; validation ?</li><li>Do you have experience in data ingestion, vector databases, feature stores, unstructured data handling ?</li><li>Do you have experience in AWS / Azure / GCP GenAI services, containerization, API-based architectures ?</li></ul><p>Work Location: In person</p>

Senior GenAI Consultant / Architect

Microsoft

<div><b>Overview</b><p><br>
Microsoft Innovation Hub empowers customers to overcome their business challenges through innovative engagements that integrate multiple areas of expertise. We drive AI transformation by leveraging evolving needs and emerging business opportunities. As the future of technologists and enterprise technical sellers, we guide customers from envisioning solutions to implementation. We deliver the Microsoft value story through immersive experiences, strengthening customer trust through deep engagements in exceptional environments.</p><p>
As a Solution Engineer in the Microsoft Innovation Hub, you will merge business and technical requirements to craft comprehensive solutions, working seamlessly with various stakeholders. You will conduct discovery sessions to understand customer needs and provide strategic recommendations and best practices tailored to their specific needs. Implementing robust AI transformation solutions and optimizing the integration of various technologies and services will be key aspects of your role. Additionally, you will leverage consultancy skills to foster collaboration among technical resources and stakeholders, ensuring alignment and effective teamwork. This role is Microsoft onsite only.</p><p>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p><b><br>
Responsibilities</b><div><ul><li><p><br>
Delivering customer engagements: Prepare and deliver technical engagements including strategy sessions, envisioning workshops, architecture design sessions and rapid prototyping to demonstrate key capabilities, validate against identified risks and finalize technology choices.</p></li></ul></div><div><ul><li><p>
AI Transformation Leadership: Be the trusted voice within the business and for customers on the latest AI platform and technology trends, guiding their transformation journeys. By prioritizing AI use cases through design thinking workshops, you will lead these journeys effectively. You will be a valued contributor to Microsoft&rsquo;s strategy in your area, ensuring the Hub is proactively aligned with the right customers to drive real impact.</p></li></ul></div><div><ul><li><p>
Strategic Vision and Planning: Own and execute a clear strategic vision for AI transformation initiatives on a set of targeted accounts, aligning with organizational goals and customer needs by collaborating and orchestrating cross-functional teams.</p></li></ul></div><div><ul><li><p>
Solution Design and Architecture: Develop comprehensive solution architectures based on patterns and practices that are tied to customer requirements and ensure that solutions are scalable, secure and optimized for performance. By utilizing consultation skills, you will uncover and prioritize opportunities, ensuing solutions are addressing real customer needs.</p></li></ul></div><div><ul><li><p>
Cross Platform Collaboration: Adopt a holistic approach to integrate capabilities across the entire cloud platform, identifying synergies and optimizing cross-platform integration. You will work with your peers and stakeholders to make the Innovation Hub the home of Cross Solution AI Transformation.</p></li></ul></div><div><ul><li><p>
Technical Depth: Maintain and grow expertise in AI solutions that will include services like AI Foundry or Fabric Data platform. Develop skills in AI management and security, real-time intelligence, and application architecture to support AI transformation initiatives. Stay updated with the market trends and collaborate within technical communities.</p></li></ul></div><div><ul><li><p>
Technical Sales and Sales Leadership: Act as a strategic change agent within the business to shape Microsoft's programs and engineering offerings. Lead the creation of scalable, field-relevant assets through internal communities. Champion Hub engagement success by connecting technical capabilities to sales opportunities and serving as a trusted voice with sales leaders and account teams.</p></li></ul></div><b><br>
Qualifications</b><p><br>
Required (RQs):</p><div><ul><li><p>
Master's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience</p></li></ul></div><div><ul><li><p>
OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience</p></li></ul></div><div><ul><li><p>
OR 7+ years technical pre-sales or technical consulting experience</p></li></ul></div><div><ul><li><p>
OR equivalent experience.</p></li></ul></div><div><p>
Preferred Qualifications (PQs):</p><div><div><ul><li><p>
Enterprise Architect Experience: Proven experience as an Enterprise Architect, designing and implementing large-scale, complex solutions that align with business goals and technical requirements. Ability to integrate various technologies and platforms to create cohesive and scalable architectures.</p></li></ul></div><div><ul><li><p>
Consultative Selling: Proven experience in a consultancy role, providing expert guidance and strategic recommendations to customers. Ability to navigate complex technical landscapes and deliver tailored solutions that meet specific customer needs.</p></li></ul></div><div><ul><li><p>
Strategic &amp; Structured Facilitator: Validated customer experience in requirements capture; prioritization; capturing evidence and impact to quantify business value; issue, risk and constraint identification with a focus on strategic goals and outcomes.</p></li></ul></div><div><ul><li><p>
AI Solution Design Experience: Expertise in designing architectures, building, and deploying AI solutions. Experience with cloud and hybrid infrastructures, networking, adjacent technologies, architecture designs, migrations, and industry standards. Understanding of AI related Azure services.</p></li><li>
Design Thinking: Proven experience of delivering design thinking; &lsquo;ideation&rsquo;; or similar context analysis / problem framing.</li></ul></div><div><ul><li><p>
Certification in relevant technologies or disciplines</p></li></ul></div><div><ul><li><p>
Azure Certifications :</p></li></ul></div><div><ul><li><ul><li><p>
AI-102 Azure AI Engineer Associate or</p></li></ul></li></ul></div><div><ul><li><ul><li><p>
AZ-305 Azure Solutions Architect Expert or</p></li></ul></li></ul></div><div><ul><li><ul><li><p>
DP-600 Fabric Analytics Engineer Associate or</p></li></ul></li></ul></div><div><ul><li><ul><li><p>
DP-700 Fabric Data Engineer Associate or</p></li></ul></li></ul></div><div><ul><li><ul><li><p>
AZ-204 Azure Developer Associate</p></li></ul></li></ul></div></div><div><div><ul><li><p>
or other domain-relevant certifications from different vendors</p></li></ul></div></div></div><br>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Solution Engineering - Innovation Hub

Pfizer

<div></div><div><div>ROLE SUMMARY</div><div></div><div>
The AI Acceleration (AIA) function within the Chief Marketing Office (CMO) is the single, business-led engine that owns the design, delivery, and scale-up of priority AI capabilities across Commercial. AIA works in tight collaboration with various Pfizer functions to deploy and maintain production-grade AI solutions that simplify how we work and drive measurable value across all processes.</div><div></div><div>
As a Technical Lead in the newly formed AIA team, we are looking for a hands-on solution architect to lead the design and implementation of end-to-end agentic AI solutions at enterprise scale. This role requires expertise across AI architecture, cloud engineering, data platforms, MLOps/LLOps and product thinking. The ideal candidate should be comfortable engaging directly with business stakeholders, translating ambiguous needs into technical solutions, developing MVPs and guiding engineering team toward scalable delivery.</div><div></div><div>
Role Responsibilities</div><div></div><div>
Solution Design &amp; Architecture</div><ul><li><div>
Architect enterprise-grade AI solutions integrating LLMs, RAG, autonomous agents, vector search, orchestration frameworks, APIs and UI layers</div></li></ul><ul><li><div>
Implements scalable E2E AI pipelines- data-&gt; semantic layer-&gt; embeddings-&gt; vector DB-&gt; inference-&gt; monitoring</div></li><li><div>
Own architecture documentation, solutions diagrams and technical decision logs</div></li><li><div>
Act as player coach-able to prototype agents, build POCs and guide engineering teams production systems</div></li></ul><div>
Cross-Functional Collaboration</div><ul><li><div>
Partner with Product Owners, Data Scientists, Engineers, and Business Stakeholders to translate requirements into technical solutions.</div></li></ul><ul><li><div>
Facilitate workshops and design sessions to gather insights and co-create technical solution blueprints.</div></li></ul><ul><li><div>
Ensure integration of AI solutions with existing enterprise systems and data environment. Push boundaries of technical innovation at the enterprise level.</div></li></ul><div>
Technical Leadership &amp; Governance</div><ul><li><div>
Define and enforce architectural standards, best practices, and design patterns for AI and digital health solutions.</div></li></ul><ul><li><div>
Set the standard for and lead technical reviews, risk assessments, and design validations.</div></li></ul><ul><li><div>
Ensure solutions adhere to data privacy, security, and regulatory requirements (e.g., HIPAA, GDPR, ANVISA, COFEPRIS).</div></li><li><div>
Ensure security, scalability, privacy safeguards, hallucination risk control and responsible AI implementation</div></li><li><div>
Establish guardrails for model usage, evaluation metrics, monitoring and fallback plans</div></li></ul><div>
Innovation &amp; Emerging Technologies</div><ul><li><div>
Stay abreast of emerging AI technologies, platforms, and trends relevant to healthcare and life sciences.</div></li></ul><ul><li><div>
Evaluate and prototype new tools (e.g., LLMs, federated learning, edge AI) for potential adoption.</div></li></ul><ul><li><div>
Drive innovation by identifying opportunities for AI to enhance patient outcomes, operational efficiency, and market differentiation.</div></li></ul><ul><li><div>
Documentation &amp; Knowledge Management</div></li></ul><ul><li><div>
Develop and maintain comprehensive architecture documentation, including diagrams, data flows, and technical specifications.</div></li></ul><ul><li><div>
Create reusable solution templates and reference architectures for future projects. Develop platform strategies to empower teams with consistent and re-usable patterns</div></li></ul><ul><li><div>
Contribute to internal knowledge bases and technical communities of practice.</div></li></ul><ul><li><div>
Vendor &amp; Partner Engagement</div></li></ul><ul><li><div>
Assess and manage relationships with external technology vendors, cloud providers, and implementation partners.</div></li></ul><ul><li><div>
Lead technical due diligence and integration planning for third-party AI solutions.</div></li></ul><ul><li><div>
Ensure vendor solutions align with internal architecture and compliance standards.</div></li></ul><div></div><div>
BASIC QUALIFICATIONS</div><ul><li><div>
Bachelor&rsquo;s degree in Computer Science, Engineering, data Science or related field.</div></li><li><div>
9+ years of relevant experience in AI/ML/Data/SaaS engineering roles with 2+ years in architecture capacity</div></li><li><div>
Proven experience in designing and deploying AI solutions in healthcare or regulated industries.</div></li><li><div>
Deep understanding of cloud platforms (e.g., Azure, AWS, GCP), microservices, APIs, and data engineering.</div></li><li><div>
Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch), MLOps, and model lifecycle management.</div></li><li><div>
Hands-on experience with</div></li></ul><ul><li><div>
Data Tech: Snowflake/Kafka/Spark</div></li><li><div>
APIs &amp; Microservices: Python, FastAPI, REST</div></li><li><div>
MLOps/LLMOps: MLflow, Vertex AI</div></li><li><div>
LLMs, RAG, LangGraph/OpenAI</div></li></ul><ul><li><div>
Excellent communication, stakeholder management, and analytical skills.</div></li><li><div>
Strong knowledge of agile methodologies and DevOps practices.</div></li></ul><div>
Preferred Qualifications:</div><ul><li><div>
Master&rsquo;s degree or PhD in Computer Science, Data Science, or related field.</div></li><li><div>
Experience in pharmaceutical or healthcare technology environments.</div></li><li><div>
Experience with Agentic AI frameworks (CrewAI, AutoGen, Hugging Face agents, OpenAI workflows)</div></li><li><div>
Familiarity with compliance standards such as GxP, HIPAA, and data privacy regulations.</div></li><li><div>
Knowledge of enterprise workflow tools &ndash; Salesforce, ServiceNow, SAP, Veeva etc</div></li><li><div>
Demonstrated success in deploying AI or ML solutions in production environments.</div></li></ul><div></div><div>
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</div><div></div>
Information &amp; Business Tech</div><div></div>

Senior Manager, Technical Lead

Infogain

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p><b>Core Skills</b></p><p>
Expertise in developing and optimizing complex AI/ML applications Strong understanding of AI/ML libraries and frameworks like TensorFlow, Keras, PyTorch, etc. Experience in using AI/ML development tools and technologies Familiarity with software testing and debugging best practices.</p><p>
Core Skills Expertise in developing and optimizing complex AI/ML applications Strong understanding of AI/ML libraries and frameworks like TensorFlow, Keras, PyTorch, etc. Experience in using AI/ML development tools and technologies Familiarity with software testing and debugging best practices.Core SkillsKey Responsibilities ? Solution Architecture &amp;amp; Development o Lead the end-to-end development of GenAI solutions, from ideation to production deployment. o Architect and implement scalable GenAI applications using frameworks like LangChain, LangGraph, AutoGen, CrewAI, or equivalent. o Integrate LLMs (OpenAI GPT, Claude, Mistral, LLaMA, etc.) with enterprise data sources and APIs to enable advanced RAG (Retrieval-Augmented Generation), multi-agent workflows, and context-aware conversational AI. ? Technical Leadership o Mentor and guide a team of AI engineers and developers, fostering a culture of innovation and technical excellence. o Define coding standards, best practices, and DevOps/MLOps pipelines for model training, fine-tuning, and deployment. o Collaborate with data scientists to optimize models for performance, cost, and accuracy. ? Stakeholder Collaboration o Partner with product managers, business leaders, and domain experts to identify high-value GenAI use cases. o Present technical roadmaps, proof-of-concepts, and solution demos to senior leadership and clients. ? Governance &amp;amp; Security o Implement robust data governance, privacy, and compliance controls (e.g., PII masking, GDPR) for AI-driven applications. o Ensure adherence to ethical AI principles and responsible use of Generative AI technologies. Required Skills &amp;amp; Experience ? Technical Expertise o 10+ years of overall IT/Software development experience, with at least 3+ years focused on Generative AI, LLMs, or advanced AI/ML. o Proficiency in Python, Node.js, or equivalent languages for AI solution development. o Hands-on experience with vector databases (Pinecone, Weaviate, FAISS), embedding models, and RAG pipelines. o Familiarity with cloud platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI) and containerized deployments (Docker, Kubernetes). o Strong understanding of prompt engineering, fine-tuning, and multi-agent orchestration. ? Leadership &amp;amp; Delivery o Proven track record of leading cross-functional development teams to deliver enterprise-scale AI products. o Experience with Agile/Scrum methodologies and project management tools (Jira, Azure DevOps). ? Domain Knowledge o Exposure to industries like retail, finance, healthcare, or QSR (preferred). o Understanding of data governance, security, and compliance in AI/ML applications. Preferred Qualifications ? Experience integrating GenAI with Power Platform (Power Automate, Copilot Studio) or enterprise SaaS ecosystems. ? Knowledge of MLOps and AI model monitoring frameworks. ? Certifications in AI/ML, Azure AI Engineer, or OpenAI/LangChain (a plus). ? Contributions to open-source AI projects or AI research publications. Key Attributes ? Strategic thinker with strong problem-solving and analytical skills. ? Excellent communication skills to engage both technical and non-technical stakeholders. ? Passion for emerging AI trends and the ability to rapidly learn new technologies.</p></div><br>
<p></p>
<p>EXPERIENCE</p>
<ul><div>3-4.5 Years</div>
</ul><p>SKILLS</p>
<ul><div>Primary Skill: AI/ML Development</div>
<div>Sub Skill(s): AI/ML Development
</div><div>Additional Skill(s): TensorFlow</div></ul></div><p></p>

AI / ML Developer (Standard)

Gilbane

<div><h2 class="jobSectionHeader"><b>Overview
</b></h2><div><div><div><p>Gilbane is seeking an<b> AI Analyst</b> - a dynamic professional with a strong foundation in IT, proven experience in data and AI, and a passion for innovation. In this role, you will serve as a bridge between advanced AI capabilities and real-world business impact, designing, developing, and deploying AI solutions that drive measurable value across the enterprise. This role will report to the AI Director, with overall functional oversight from the Chief Growth and Strategy Officer.</p><p>
You will collaborate closely with business leaders and functional teams to identify high-impact opportunities for AI, ensuring solutions are not only technically robust but also aligned with strategic priorities. Beyond model development, you will play a key role in integrating AI into existing systems, scaling successful initiatives, and fostering a culture of innovation that empowers teams to adopt and trust AI in their workflows.</p><p>
This position is ideal for someone who thrives at the intersection of technology and business, eager to shape the future of enterprise AI by turning cutting-edge models into sustainable, collaborative solutions that accelerate growth, efficiency, and competitive advantage.</p>
</div></div></div><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><div><div><div><div><b>The AI Solution Architect is responsible for designing end-to-end AI solutions, ensuring they are scalable, secure, and aligned with the organization's goals. They act as a bridge between business stakeholders and technical teams, translating business requirements into technical solutions and overseeing the implementation of AI technologies.</b></div><ul><li>
Design AI and machine learning (ML) architectures to solve business problems.
</li><li>Define the technical roadmap for AI projects, including infrastructure, tools, and frameworks.
</li><li>Ensure scalability, security, and performance of AI solutions.</li><li>
Work closely with business leaders, data scientists, engineers, and other stakeholders to understand requirements.</li><li>
Translate business needs into technical specifications and actionable plans.</li><li>
Evaluate and recommend AI tools, platforms, and technologies (buy vs build).
</li><li>Stay updated on emerging AI trends and technologies to ensure the organization remains competitive.</li><li>
Collaborate with data teams to ensure the availability of high-quality data for AI models.
</li><li>Define data pipelines, storage, and governance strategies.</li><li>
Design, develop and deploy intuitive, scalable, and value-driven AI models and solutions that streamline workflows, enhance decision-making, and accelerate innovation.
</li><li>Ensure integration with existing systems and workflows.</li><li>
Document technical designs, processes, and outcomes for knowledge sharing and scalability and provide training, and support to drive AI adoption across teams.</li><li>
Ensure AI solutions adhere to ethical guidelines, data privacy regulations, and Responsible AI principles.
</li><li>Address potential biases in AI models and ensure transparency.</li><li>
Define metrics to measure the success of AI solutions.</li><li>
Continuously monitor and optimize AI models and systems</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications
</b></h2><div><div><div><div>EXPERIENCE</div><ul><li>
3-5 years experience</li><li>
Strong knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
</li><li>Proficiency in programming languages like Python, R, or Java.
</li><li>Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and AI services.</li><li>
Expertise in designing scalable and secure AI architectures.</li></ul><div><br>
</div><div>KNOWLEDGE, SKILLS AND ABILITIES</div><ul><li>
Knowledge of microservices, APIs, and system integration.</li><li>
Strong understanding of data engineering, data pipelines, and data governance.</li><li>
Familiarity with big data technologies (e.g., Hadoop, Spark).</li><li>
Excellent communication and collaboration skills to work with cross-functional teams.
</li><li>Strong problem-solving and analytical skills to translate business needs into AI opportunities that drive efficiencies and speeds</li><li>
Proven experience in AI/ML solution design and implementation.
</li><li>Background in software engineering, data science, or related fields.</li><li>
Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).
</li><li>Experience with Responsible AI frameworks and ethical AI practices.
</li><li>Knowledge of industry-specific AI applications (e.g., healthcare, finance, retail)</li></ul><p>
Salary to be determined based on factors such as geographic location, skills, education, and/or experience of the applicant, as well as the internal equity and alignment with the team.</p><p>
For Rhode Island this ranges from $125,000-$165,000 plus benefits and retirement program.</p><p></p><p><i><br>
Gilbane offers an excellent total compensation package which includes competitive health and welfare benefits and a generous profit-sharing/401k plan. We invest in our employees&rsquo; education and have built Gilbane University into a top training organization in the construction industry. Qualified applicants who are offered a position must pass a pre-employment substance abuse test.</i></p><p></p><p><i><br>
Gilbane is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, color, national origin, race, religion, sex, sexual orientation, gender identity, protected veteran status, or disability status.</i></p><p><b><i>
Note to Recruiters, Placement Agencies, and Similar Organizations</i></b><i>: Gilbane does not accept unsolicited resumes from agencies. Please do not forward unsolicited agency resumes to our jobs alias, website, or to any Gilbane employee. Gilbane will not pay fees to any third party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered property of Gilbane and will be processed accordingly.</i></p></div></div></div></div>

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